QMS

Performance Claims

Performance claims represent specific acceptance criteria tested in clinical validation studies, showing how the device meets performance thresholds.

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User Group

Total Claims

148

Achieved

138

Not Achieved

Exceeds SOTA

ID	Study	Device	Domain	Indications	User Group	Value Type	Subject	Metric	Value Achieved	Threshold	Global Value	State of Art	Achieved	vs SOTA
LL5	AIHS4 2025	Plus	Objective severity assessment	Hidradenitis supurativa	Dermatologists	Absolute	N/A	inter-observer intraclass correlation coefficient (ICC)	72.70% [0.66, 0.79]	≥70.00%	72.70% LL5	47.00% [0.32, 0.65]	Achieved	Exceeds SotA
SDP	AIHS4 2025	Plus	Objective severity assessment	Hidradenitis supurativa	Dermatologists	Absolute	🤖 Device	inter-class coefficient correlation variability (ICC)	10.00%	<15.00%	10.00% SDP	10.00%	Achieved	Matches SotA
MRT	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists Primary care practitioners	Relative	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	15.12%	≥7.00%	16.22% MRT61I	6.36%	Achieved	Exceeds SotA
9D7	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	63.06% [0.57, 0.69]	>47.94%	63.06% 9D7	N/A	Achieved	N/A
ZKC	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	63.06% [0.57, 0.69]	≥53.96%	72.50% ZKCYJCME3	49.05% [0.46, 0.54]	Achieved	Exceeds SotA
02A	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists Primary care practitioners	Relative	👩‍⚕️ HCP + 🦾 Device	sensitivity	18.43%	>6.93%	18.43% 02A	6.30%	Achieved	Exceeds SotA
5IT	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	sensitivity	71.04% [0.69, 0.73]	>70.00%	73.20% 5ITASM5UMS2C	69.08% [0.63, 0.75]	Achieved	Exceeds SotA
ASM	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	sensitivity	71.04% [0.69, 0.73]	>52.61%	73.20% 5ITASM5UMS2C	N/A	Achieved	N/A
X70	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists Primary care practitioners	Relative	👩‍⚕️ HCP + 🦾 Device	specificity	19.38%	≥5.06%	21.86% X70ZGT	4.60%	Achieved	Exceeds SotA
0ZD	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	specificity	75.83% [0.74, 0.77]	≥70.00%	75.83% 0ZD	76.47% [0.73, 0.79]	Achieved	Below SotA
MJY	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	specificity	75.83% [0.74, 0.77]	>56.45%	79.87% MJYFEHVFV	N/A	Achieved	N/A
O4L	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Relative	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	17.00%	≥7.00%	19.04% O4L6KXAR8	6.36%	Achieved	Exceeds SotA
GZS	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	61.71% [0.6, 0.63]	≥47.91%	70.66% GZS31QCZRF165XFR7X	N/A	Achieved	N/A
31Q	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	61.71% [0.6, 0.63]	≥46.12%	70.66% GZS31QCZRF165XFR7X	41.93% [0.36, 0.47]	Achieved	Exceeds SotA
81T	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Relative	👩‍⚕️ HCP + 🦾 Device	sensitivity	18.43%	≥14.30%	18.90% 81T09O7YC	13.00%	Achieved	Exceeds SotA
37G	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	sensitivity	71.04% [0.68, 0.74]	≥66.30%	75.73% 37GHUGJZ1KPM	66.30% [0.61, 0.71]	Achieved	Exceeds SotA
19H	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	sensitivity	71.04% [0.68, 0.74]	>52.61%	72.27% 19H2W5	N/A	Achieved	N/A
0H6	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Relative	👩‍⚕️ HCP + 🦾 Device	specificity	19.38%	≥11.88%	19.87% 0H6VEF9YX	10.80%	Achieved	Exceeds SotA
H3D	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	specificity	75.83% [0.74, 0.77]	≥70.10%	81.58% H3DQX8VCNFBJ	70.10% [0.65, 0.75]	Achieved	Exceeds SotA
0QF	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	specificity	75.83% [0.74, 0.77]	>56.45%	77.70% 0QFN2E	N/A	Achieved	N/A
6FT	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists	Relative	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	8.30%	≥5.83%	8.79% 6FTO0B	5.30%	Achieved	Exceeds SotA
GU0	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists	Absolute	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	65.65% [0.64, 0.67]	≥57.25%	73.98% GU047JLXJ	N/A	Achieved	N/A
47J	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists	Absolute	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	65.65% [0.64, 0.67]	≥61.80%	73.98% GU047JLXJ	56.18% [0.5, 0.62]	Achieved	Exceeds SotA
W8N	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists	Absolute	👩‍⚕️ HCP + 🦾 Device	sensitivity	9.37%	≥6.93%	45.87% W8NA76Q5G	6.30%	Achieved	Exceeds SotA
A76	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists	Absolute	👩‍⚕️ HCP + 🦾 Device	sensitivity	71.01% [0.66, 0.75]	≥70.00%	45.87% W8NA76Q5G	72.86% [0.69, 0.75]	Achieved	Below SotA
CUC	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists	Absolute	👩‍⚕️ HCP + 🦾 Device	sensitivity	71.01% [0.66, 0.75]	>61.64%	74.17% CUC3GH	N/A	Achieved	N/A
R9C	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists	Relative	👩‍⚕️ HCP + 🦾 Device	specificity	10.61%	≥5.06%	10.11% R9CN50	4.60%	Achieved	Exceeds SotA
9MI	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists	Absolute	👩‍⚕️ HCP + 🦾 Device	specificity	73.08% [0.71, 0.75]	≥77.60%	77.05% 9MIB4N	77.60% [0.7, 0.84]	Not Achieved	Below SotA
NLW	BI_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists	Absolute	👩‍⚕️ HCP + 🦾 Device	specificity	73.08% [0.71, 0.75]	>62.47%	77.05% NLWYIO	N/A	Achieved	N/A
DII	BI_2024	Plus	Diagnostic accuracy	Rare diseases	Dermatologists Primary care practitioners	Relative	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	26.77%	≥6.93%	26.77% DII	6.30%	Achieved	Exceeds SotA
KOQ	BI_2024	Plus	Diagnostic accuracy	Rare diseases	Dermatologists Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	57.88% [0.56, 0.59]	≥30.90%	57.88% KOQ	N/A	Achieved	N/A
NK7	BI_2024	Plus	Diagnostic accuracy	Rare diseases	Dermatologists Primary care practitioners	Relative	👩‍⚕️ HCP + 🦾 Device	sensitivity	25.56%	≥6.93%	25.56% NK7	6.30%	Achieved	Exceeds SotA
DR7	BI_2024	Plus	Diagnostic accuracy	Rare diseases	Dermatologists Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	sensitivity	46.59% [0.41, 0.5]	>21.04%	46.59% DR7	N/A	Achieved	N/A
0I1	BI_2024	Plus	Diagnostic accuracy	Rare diseases	Dermatologists Primary care practitioners	Relative	👩‍⚕️ HCP + 🦾 Device	specificity	23.50%	≥5.06%	23.50% 0I1	4.60%	Achieved	Exceeds SotA
WAM	BI_2024	Plus	Diagnostic accuracy	Rare diseases	Dermatologists Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	specificity	62.19% [0.61, 0.63]	>38.69%	62.19% WAM	N/A	Achieved	N/A
JBB	BI_2024	Plus	Diagnostic accuracy	Rare diseases	Primary care practitioners	Relative	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	32.10%	≥6.93%	32.10% JBB	6.30%	Achieved	Exceeds SotA
ERK	BI_2024	Plus	Diagnostic accuracy	Rare diseases	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	56.44% [0.55, 0.57]	≥24.34%	56.44% ERK	N/A	Achieved	N/A
8PG	BI_2024	Plus	Diagnostic accuracy	Rare diseases	Primary care practitioners	Relative	👩‍⚕️ HCP + 🦾 Device	sensitivity	25.21%	≥14.30%	25.21% 8PG	13.00%	Achieved	Exceeds SotA
DIK	BI_2024	Plus	Diagnostic accuracy	Rare diseases	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	sensitivity	44.55% [0.39, 0.49]	>19.33%	44.55% DIK	N/A	Achieved	N/A
99Y	BI_2024	Plus	Diagnostic accuracy	Rare diseases	Primary care practitioners	Relative	👩‍⚕️ HCP + 🦾 Device	specificity	24.73%	≥11.88%	24.73% 99Y	10.80%	Achieved	Exceeds SotA
8QZ	BI_2024	Plus	Diagnostic accuracy	Rare diseases	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	specificity	61.36% [0.6, 0.62]	>36.64%	61.36% 8QZ	N/A	Achieved	N/A
4KO	BI_2024	Plus	Diagnostic accuracy	Rare diseases	Dermatologists	Relative	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	12.97%	≥5.83%	12.97% 4KO	5.30%	Achieved	Exceeds SotA
S03	BI_2024	Plus	Diagnostic accuracy	Rare diseases	Dermatologists	Absolute	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	61.11% [0.59, 0.63]	≥48.15%	61.11% S03	N/A	Achieved	N/A
TG6	BI_2024	Plus	Diagnostic accuracy	Rare diseases	Dermatologists	Relative	👩‍⚕️ HCP + 🦾 Device	sensitivity	16.44%	≥6.93%	16.44% TG6	6.30%	Achieved	Exceeds SotA
OR5	BI_2024	Plus	Diagnostic accuracy	Rare diseases	Dermatologists	Absolute	👩‍⚕️ HCP + 🦾 Device	sensitivity	52.33% [0.45, 0.59]	>35.89%	52.33% OR5	N/A	Achieved	N/A
Q2D	BI_2024	Plus	Diagnostic accuracy	Rare diseases	Dermatologists	Relative	👩‍⚕️ HCP + 🦾 Device	specificity	15.41%	≥5.06%	15.41% Q2D	4.60%	Achieved	Exceeds SotA
MM8	BI_2024	Plus	Diagnostic accuracy	Rare diseases	Dermatologists	Absolute	👩‍⚕️ HCP + 🦾 Device	specificity	71.08% [0.69, 0.73]	>55.67%	71.08% MM8	N/A	Achieved	N/A
3OA	COVIDX_EVCDAO_2022	Plus	Delphi-based consensus	Multiple conditions	Dermatologists	Absolute	N/A	(CUS)	80.00%	≥75.00%	84.33% 3OARNDP30EZ13BDNVTVCT8MV	75.00%	Achieved	Exceeds SotA
ZGP	COVIDX_EVCDAO_2022	Plus	Delphi-based consensus	Multiple conditions	Dermatologists	Absolute	N/A		50.00%	∈75.00%	50.00% ZGP	75.00%	Not Achieved	Below SotA
RND	COVIDX_EVCDAO_2022	Plus	Delphi-based consensus	Multiple conditions	Dermatologists	Absolute	N/A		100.00%	≥75.00%	84.33% 3OARNDP30EZ13BDNVTVCT8MV	75.00%	Achieved	Exceeds SotA
P30	COVIDX_EVCDAO_2022	Plus	Delphi-based consensus	Multiple conditions	Dermatologists	Absolute	N/A		100.00%	≥75.00%	84.33% 3OARNDP30EZ13BDNVTVCT8MV	75.00%	Achieved	Exceeds SotA
EZ1	COVIDX_EVCDAO_2022	Plus	Delphi-based consensus	Multiple conditions	Dermatologists	Absolute	N/A		83.00%	≥75.00%	84.33% 3OARNDP30EZ13BDNVTVCT8MV	75.00%	Achieved	Exceeds SotA
3BD	COVIDX_EVCDAO_2022	Plus	Delphi-based consensus	Multiple conditions	Dermatologists	Absolute	N/A		67.00%	≥75.00%	84.33% 3OARNDP30EZ13BDNVTVCT8MV	75.00%	Not Achieved	Below SotA
NVT	COVIDX_EVCDAO_2022	Plus	Delphi-based consensus	Multiple conditions	Dermatologists	Absolute	N/A	(CUS)	76.67%	≥80.00%	84.33% 3OARNDP30EZ13BDNVTVCT8MV	80.00%	Not Achieved	Below SotA
EAC	DAO_Derivación_PH_2022	Plus	Detection	Multiple malignant conditions	Dermatologists	Absolute	👩‍⚕️ HCP + 🦾 Device	area under the ROC curve (AUC)	84.20% [0.82, 0.86]	≥80.00%	91.99% EACFIQ	77.80% [0.74, 0.8]	Achieved	Exceeds SotA
8H5	DAO_Derivación_PH_2022	Plus	Resource optimisation	Multiple conditions	Dermatologists	Relative	N/A	increase in the adequacy of referrals	7.00%	≥15.00%	7.00% 8H5	24.00%	Not Achieved	Below SotA
VCT	DAO_Derivación_PH_2022	Plus	Delphi-based consensus	Multiple conditions	Dermatologists	Absolute	N/A		80.00%	≥70.00%	84.33% 3OARNDP30EZ13BDNVTVCT8MV	70.00%	Achieved	Exceeds SotA
DX7	DAO_Derivation_O_2022	Plus	Detection	Multiple malignant conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	area under the ROC curve (AUC)	82.00% [0.67, 0.94]	≥80.00%	82.00% DX7	77.80% [0.74, 0.8]	Achieved	Exceeds SotA
LU4	DAO_Derivation_O_2022	Plus	Detection	Multiple malignant conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	sensitivity	57.14% [0.33, 0.79]	≥80.00%	57.14% LU4	76.00% [0.7, 0.82]	Not Achieved	Below SotA
R9P	DAO_Derivation_O_2022	Plus	Detection	Multiple malignant conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	specificity	93.53% [0.89, 0.96]	≥84.00%	93.53% R9P	79.00% [0.71, 0.85]	Achieved	Exceeds SotA
0L2	DAO_Derivation_O_2022	Plus	Detection	Multiple malignant conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	positive predictive value (PPV)	42.00% [0.23, 0.67]	≥40.00%	42.00% 0L2	N/A	Achieved	N/A
7ZI	DAO_Derivation_O_2022	Plus	Detection	Multiple malignant conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	negative predictive value (NPV)	96.00% [0.92, 0.98]	≥80.00%	96.00% 7ZI	N/A	Achieved	N/A
D62	DAO_Derivation_O_2022	Plus	Adequacy of referrals	Multiple conditions	Primary care practitioners	Relative	N/A		38.00%	≥15.00%	38.00% D62	14.00%	Achieved	Exceeds SotA
CST	DAO_Derivation_O_2022	Plus	Adequacy of referrals	Multiple conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	sensitivity	74.00% [0.57, 0.86]	≥72.93%	74.00% CST6H0	66.30% [0.69, 0.75]	Achieved	Exceeds SotA
6H0	DAO_Derivation_O_2022	Plus	Adequacy of referrals	Multiple conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	sensitivity	74.00% [0.69, 0.75]	≥45.00%	74.00% CST6H0	N/A	Achieved	N/A
H4U	DAO_Derivation_O_2022	Plus	Adequacy of referrals	Multiple conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	specificity	67.00% [0.59, 0.74]	≥66.11%	67.00% H4U04D	60.10% [0.51, 0.69]	Achieved	Exceeds SotA
04D	DAO_Derivation_O_2022	Plus	Adequacy of referrals	Multiple conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	specificity	67.00% [0.59, 0.74]	≥47.00%	67.00% H4U04D	N/A	Achieved	N/A
DCH	DAO_Derivation_O_2022	Plus	Adequacy of referrals	Multiple conditions	Primary care practitioners	Absolute	🤖 Device	adequacy of referrals during in-person care	78.60% [0.6, 0.89]	≥50.00%	73.10% DCHDZC	N/A	Achieved	N/A
DZC	DAO_Derivation_O_2022	Plus	Adequacy of referrals	Multiple conditions	Primary care practitioners	Absolute	🤖 Device	adequacy of referrals during in-person care	67.60% [0.58, 0.76]	≥38.90%	73.10% DCHDZC	N/A	Achieved	N/A
LHF	DAO_Derivation_O_2022	Plus	Adequacy of referrals	Multiple conditions	Primary care practitioners	Absolute	🤖 Device	adequacy of referrals during remote care	33.00% [0.06, 0.79]	≥0.00%	50.00% LHF4BO	N/A	Achieved	N/A
4BO	DAO_Derivation_O_2022	Plus	Adequacy of referrals	Multiple conditions	Primary care practitioners	Absolute	🤖 Device	adequacy of referrals during remote care	67.00% [0.52, 0.79]	≥67.00%	50.00% LHF4BO	N/A	Achieved	N/A
KPQ	DAO_Derivation_O_2022	Plus	Resource optimisation	Multiple conditions	Primary care practitioners	Relative	N/A	reduction in the number of days	84.37%	>78.10%	84.37% KPQ	71.00%	Achieved	Exceeds SotA
1M1	DAO_Derivation_O_2022	Plus	Resource optimisation	Multiple conditions	Primary care practitioners	Relative	N/A	reduction in the number of days	56.00%	≥30.00%	56.00% 1M1	71.00%	Achieved	Below SotA
UGS	DAO_Derivation_O_2022	Plus	Resource optimisation	Multiple conditions	Primary care practitioners	Relative	N/A	reduction in the number of days	5 days	<10.35	500.00% UGS	11.5 days	Achieved	Exceeds SotA
LXJ	IDEI_2023	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists	Absolute	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	82.14% [0.64, 0.95]	≥61.80%	73.98% GU047JLXJ	56.18% [0.5, 0.62]	Achieved	Exceeds SotA
KW3	IDEI_2023	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists	Absolute	🤖 Device	top-1 accuracy	78.57% [0.69, 0.86]	≥50.00%	70.56% KW3WGP	50.70% [0.43, 0.57]	Achieved	Exceeds SotA
7V9	IDEI_2023	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists	Absolute	👩‍⚕️ HCP + 🦾 Device	top-3 accuracy	89.29% [0.75, 1]	≥60.00%	89.29% 7V9	64.00% [0.57, 0.71]	Achieved	Exceeds SotA
1S5	IDEI_2023	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists	Absolute	👩‍⚕️ HCP + 🦾 Device	top-5 accuracy	89.29% [0.75, 1]	≥80.00%	89.29% 1S5	80.00% [0.73, 0.87]	Achieved	Exceeds SotA
FIQ	IDEI_2023	Plus	Detection	Multiple malignant conditions	Dermatologists	Absolute	👩‍⚕️ HCP + 🦾 Device	area under the ROC curve (AUC)	97.00% [0.89, 1]	≥80.00%	91.99% EACFIQ	77.80% [0.74, 0.8]	Achieved	Exceeds SotA
GS5	IDEI_2023	Plus	Detection	Multiple malignant conditions	Dermatologists	Absolute	👩‍⚕️ HCP + 🦾 Device	sensitivity	87.50% [0.54, 1]	≥80.00%	87.50% GS5	76.00% [0.7, 0.82]	Achieved	Exceeds SotA
6EP	IDEI_2023	Plus	Detection	Multiple malignant conditions	Dermatologists	Absolute	👩‍⚕️ HCP + 🦾 Device	specificity	97.06% [0.9, 1]	≥84.00%	97.06% 6EP	79.00% [0.71, 0.85]	Achieved	Exceeds SotA
PZD	IDEI_2023	Plus	Detection	Multiple malignant conditions	Dermatologists	Absolute	👩‍⚕️ HCP + 🦾 Device	positive predictive value (PPV)	87.50% [0.54, 1]	≥80.00%	87.50% PZD	N/A	Achieved	N/A
V2U	IDEI_2023	Plus	Detection	Multiple malignant conditions	Dermatologists	Absolute	👩‍⚕️ HCP + 🦾 Device	negative predictive value (NPV)	97.06% [0.89, 1]	≥95.00%	97.06% V2U	N/A	Achieved	N/A
JWQ	IDEI_2023	Plus	Objective severity assessment	Androgenetic alopecia	Dermatologists	Absolute	🤖 Device	correlation	77.00% [0.69, 0.85]	≥50.00%	59.00% JWQ2847TS	60.00% [0.6, 0.8]	Achieved	Exceeds SotA
A1Q	IDEI_2023	Plus	Objective severity assessment	Androgenetic alopecia	Dermatologists	Absolute	🤖 Device	unweighted Kappa	73.97% [0.65, 0.82]	≥60.00%	53.47% A1Q3OB	60.00% [0.6, 0.8]	Achieved	Exceeds SotA
284	IDEI_2023	Plus	Objective severity assessment	Androgenetic alopecia	Dermatologists	Absolute	🤖 Device	correlation	47.00% [0.39, 0.55]	≥50.00%	59.00% JWQ2847TS	60.00% [0.6, 0.8]	Not Achieved	Below SotA
3OB	IDEI_2023	Plus	Objective severity assessment	Androgenetic alopecia	Dermatologists	Absolute	🤖 Device	unweighted Kappa	32.97% [0.26, 0.39]	≥60.00%	53.47% A1Q3OB	60.00% [0.6, 0.8]	Not Achieved	Below SotA
7TS	IDEI_2023	Plus	Objective severity assessment	Androgenetic alopecia	Dermatologists	Absolute	🤖 Device	correlation	53.00% [0.45, 0.61]	≥50.00%	59.00% JWQ2847TS	60.00% [0.6, 0.8]	Achieved	Below SotA
WGP	MC_EVCDAO_2019	Legacy	Diagnostic accuracy	Multiple conditions	Dermatologists	Absolute	🤖 Device	top-1 accuracy	55.00% [0.45, 0.65]	≥50.00%	70.56% KW3WGP	50.70% [0.43, 0.57]	Achieved	Exceeds SotA
6R7	MC_EVCDAO_2019	Legacy	Diagnostic accuracy	Multiple conditions	Dermatologists	Absolute	🤖 Device	top-3 accuracy	75.69% [0.67, 0.83]	≥60.00%	75.69% 6R7	64.00% [0.57, 0.71]	Achieved	Exceeds SotA
EYP	MC_EVCDAO_2019	Legacy	Diagnostic accuracy	Multiple conditions	Dermatologists	Absolute	🤖 Device	top-5 accuracy	84.22% [0.76, 0.9]	≥80.00%	84.22% EYP	80.00% [0.73, 0.87]	Achieved	Exceeds SotA
6U1	MC_EVCDAO_2019	Legacy	Detection	Melanoma	Dermatologists	Absolute	🤖 Device	area under the ROC curve (AUC)	85.00% [0.7629, 0.9222]	≥80.00%	85.00% 6U1	81.00% [0.78, 0.84]	Achieved	Exceeds SotA
JFM	MC_EVCDAO_2019	Legacy	Detection	Melanoma	Dermatologists	Absolute	🤖 Device	top-1 accuracy	81.00% [0.65, 0.94]	≥80.00%	81.00% JFM	75.40% [0.7, 0.8]	Achieved	Exceeds SotA
ZM8	MC_EVCDAO_2019	Legacy	Detection	Melanoma	Dermatologists	Absolute	🤖 Device	sensitivity	93.00% [0.88, 0.98]	≥80.00%	93.00% ZM8	73.40% [0.67, 0.79]	Achieved	Exceeds SotA
4JY	MC_EVCDAO_2019	Legacy	Detection	Melanoma	Dermatologists	Absolute	🤖 Device	specificity	80.00% [0.69, 0.92]	≥70.00%	80.00% 4JY	76.20% [0.68, 0.84]	Achieved	Exceeds SotA
9OD	MC_EVCDAO_2019	Legacy	Detection	Multiple malignant conditions	Dermatologists	Absolute	🤖 Device	area under the ROC curve (AUC)	89.83% [0.84, 0.94]	≥80.00%	89.83% 9OD	77.80% [0.74, 0.8]	Achieved	Exceeds SotA
BRI	MC_EVCDAO_2019	Legacy	Detection	Multiple malignant conditions	Dermatologists	Absolute	🤖 Device	sensitivity	81.00% [0.72, 0.88]	≥80.00%	81.00% BRI	76.00% [0.7, 0.82]	Achieved	Exceeds SotA
VFY	MC_EVCDAO_2019	Legacy	Detection	Multiple malignant conditions	Dermatologists	Absolute	🤖 Device	specificity	86.00% [0.77, 0.94]	≥84.00%	86.00% VFY	79.00% [0.71, 0.85]	Achieved	Exceeds SotA
9G4	MC_EVCDAO_2019	Legacy	Detection	Multiple malignant conditions	Dermatologists	Absolute	🤖 Device	positive predictive value (PPV)	92.47% [0.85, 0.97]	≥80.00%	92.47% 9G4	N/A	Achieved	N/A
Z96	MC_EVCDAO_2019	Legacy	Detection	Multiple malignant conditions	Dermatologists	Absolute	🤖 Device	negative predictive value (NPV)	67.89% [0.54, 0.81]	≥90.00%	67.89% Z96	N/A	Not Achieved	N/A
6KX	PH_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Relative	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	18.15%	≥7.00%	19.04% O4L6KXAR8	6.36%	Achieved	Exceeds SotA
CZR	PH_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	81.85% [0.8, 0.83]	≥63.70%	70.66% GZS31QCZRF165XFR7X	N/A	Achieved	N/A
F16	PH_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	81.85% [0.8, 0.83]	≥46.12%	70.66% GZS31QCZRF165XFR7X	41.93% [0.36, 0.47]	Achieved	Exceeds SotA
09O	PH_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Relative	👩‍⚕️ HCP + 🦾 Device	sensitivity	14.60%	≥14.30%	18.90% 81T09O7YC	13.00%	Achieved	Exceeds SotA
HUG	PH_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	sensitivity	83.15% [0.78, 0.87]	≥72.93%	75.73% 37GHUGJZ1KPM	66.30% [0.61, 0.71]	Achieved	Exceeds SotA
JZ1	PH_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	sensitivity	83.15% [0.78, 0.87]	≥68.55%	75.73% 37GHUGJZ1KPM	N/A	Achieved	N/A
VEF	PH_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Relative	👩‍⚕️ HCP + 🦾 Device	specificity	11.90%	≥11.88%	19.87% 0H6VEF9YX	10.80%	Achieved	Exceeds SotA
QX8	PH_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	specificity	89.91% [0.88, 0.91]	≥77.11%	81.58% H3DQX8VCNFBJ	70.10% [0.65, 0.75]	Achieved	Exceeds SotA
VCN	PH_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	specificity	89.91% [0.65, 0.75]	≥78.01%	81.58% H3DQX8VCNFBJ	N/A	Achieved	N/A
I7Y	PH_2024	Plus	Diagnostic accuracy	Rare diseases, Pustular psoriasis	Primary care practitioners	Relative	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	16.66%	≥6.93%	16.66% I7Y	6.30%	Achieved	Exceeds SotA
Z90	PH_2024	Plus	Diagnostic accuracy	Rare diseases, Pustular psoriasis	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	22.22% [0.17, 0.27]	≥5.56%	22.22% Z90	N/A	Achieved	N/A
6YW	PH_2024	Plus	Diagnostic accuracy	Rare diseases, Pustular psoriasis	Primary care practitioners	Relative	👩‍⚕️ HCP + 🦾 Device	sensitivity	22.22%	≥14.30%	22.22% 6YW	13.00%	Achieved	Exceeds SotA
REV	PH_2024	Plus	Diagnostic accuracy	Rare diseases, Pustular psoriasis	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	sensitivity	44.44% [0.22, 0.66]	>22.22%	44.44% REV	N/A	Achieved	N/A
5W2	PH_2024	Plus	Diagnostic accuracy	Rare diseases, Pustular psoriasis	Primary care practitioners	Relative	👩‍⚕️ HCP + 🦾 Device	specificity	51.85%	≥11.88%	51.85% 5W2	10.80%	Achieved	Exceeds SotA
CH0	PH_2024	Plus	Diagnostic accuracy	Rare diseases, Pustular psoriasis	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	specificity	74.07% [0.68, 0.79]	>22.22%	74.07% CH0	N/A	Achieved	N/A
IP4	PH_2024	Plus	Resource optimisation	Multiple conditions	Primary care practitioners	Relative	👩‍⚕️ HCP + 🦾 Device	reduction in the number of days	60.70%	≥40.00%	60.70% IP4	55.00%	Achieved	Exceeds SotA
WOI	PH_2024	Plus	Resource optimisation	Multiple conditions	Primary care practitioners	Relative	N/A	increase in patients that can be managed remotely	49.00%	≥40.00%	49.00% WOI	55.00%	Achieved	Below SotA
61I	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists Primary care practitioners	Relative	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	20.00%	≥7.00%	16.22% MRT61I	6.36%	Achieved	Exceeds SotA
YJC	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	88.78% [0.86, 0.9]	≥53.96%	72.50% ZKCYJCME3	49.05% [0.46, 0.54]	Achieved	Exceeds SotA
ME3	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	88.78%	≥68.08%	72.50% ZKCYJCME3	N/A	Achieved	N/A
A84	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists Primary care practitioners	Relative	👩‍⚕️ HCP + 🦾 Device	sensitivity	28.03%	≥6.93%	28.03% A84	6.30%	Achieved	Exceeds SotA
5UM	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	sensitivity	80.64% [0.75, 0.85]	>75.99%	73.20% 5ITASM5UMS2C	69.08% [0.63, 0.75]	Achieved	Exceeds SotA
S2C	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	sensitivity	80.64% [0.75, 0.85]	>52.61%	73.20% 5ITASM5UMS2C	N/A	Achieved	N/A
ZGT	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists Primary care practitioners	Relative	👩‍⚕️ HCP + 🦾 Device	specificity	30.39%	≥5.06%	21.86% X70ZGT	4.60%	Achieved	Exceeds SotA
FEH	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	specificity	86.84% [0.85, 0.88]	>84.12%	79.87% MJYFEHVFV	76.47% [0.73, 0.79]	Achieved	Exceeds SotA
VFV	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	specificity	86.84% [0.85, 0.88]	>56.45%	79.87% MJYFEHVFV	N/A	Achieved	N/A
AR8	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Relative	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	27.00%	≥7.00%	19.04% O4L6KXAR8	6.36%	Achieved	Exceeds SotA
5XF	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	89.92% [0.87, 0.91]	≥46.12%	70.66% GZS31QCZRF165XFR7X	41.93% [0.36, 0.47]	Achieved	Exceeds SotA
R7X	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	89.92% [0.87, 0.91]	≥62.90%	70.66% GZS31QCZRF165XFR7X	N/A	Achieved	N/A
7YC	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Relative	👩‍⚕️ HCP + 🦾 Device	sensitivity	24.95%	≥14.30%	18.90% 81T09O7YC	13.00%	Achieved	Exceeds SotA
KPM	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	sensitivity	76.53% [0.7, 0.83]	≥72.93%	75.73% 37GHUGJZ1KPM	66.30% [0.61, 0.71]	Achieved	Exceeds SotA
2W5	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	sensitivity	76.53% [0.7, 0.83]	>51.58%	72.27% 19H2W5	N/A	Achieved	N/A
9YX	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Relative	👩‍⚕️ HCP + 🦾 Device	specificity	29.80%	≥11.88%	19.87% 0H6VEF9YX	10.80%	Achieved	Exceeds SotA
FBJ	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	specificity	84.15% [0.82, 0.86]	≥77.11%	81.58% H3DQX8VCNFBJ	70.10% [0.65, 0.75]	Achieved	Exceeds SotA
N2E	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Primary care practitioners	Absolute	👩‍⚕️ HCP + 🦾 Device	specificity	84.15% [0.82, 0.86]	>54.35%	77.70% 0QFN2E	N/A	Achieved	N/A
O0B	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists	Relative	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	10.50%	≥5.00%	8.79% 6FTO0B	5.00%	Achieved	Exceeds SotA
8V3	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists	Absolute	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	86.93% [0.85, 0.89]	>61.80%	86.93% 8V3UC7	56.18% [0.5, 0.62]	Achieved	Exceeds SotA
UC7	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists	Absolute	👩‍⚕️ HCP + 🦾 Device	top-1 accuracy	86.93% [0.85, 0.89]	>76.47%	86.93% 8V3UC7	N/A	Achieved	N/A
BHO	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists	Relative	👩‍⚕️ HCP + 🦾 Device	sensitivity	14.70%	≥6.93%	14.70% BHO	6.30%	Achieved	Exceeds SotA
Q5G	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists	Absolute	👩‍⚕️ HCP + 🦾 Device	sensitivity	85.08% [0.75, 0.92]	≥82.80%	45.87% W8NA76Q5G	72.86% [0.69, 0.75]	Achieved	Exceeds SotA
3GH	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists	Absolute	👩‍⚕️ HCP + 🦾 Device	sensitivity	85.08% [0.75, 0.92]	>70.38%	74.17% CUC3GH	N/A	Achieved	N/A
N50	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists	Relative	👩‍⚕️ HCP + 🦾 Device	specificity	8.37%	≥5.06%	10.11% R9CN50	4.60%	Achieved	Exceeds SotA
B4N	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists	Absolute	👩‍⚕️ HCP + 🦾 Device	specificity	90.72% [0.88, 0.93]	≥85.36%	77.05% 9MIB4N	77.60% [0.7, 0.84]	Achieved	Exceeds SotA
YIO	SAN_2024	Plus	Diagnostic accuracy	Multiple conditions	Dermatologists	Absolute	👩‍⚕️ HCP + 🦾 Device	specificity	90.72% [0.88, 0.93]	>82.35%	77.05% NLWYIO	N/A	Achieved	N/A
V2J	SAN_2024	Plus	Resource optimisation	Multiple conditions	Dermatologists	Relative	👩‍⚕️ HCP + 🦾 Device	reduction in the number of days	42.00%	<76.00%	42.00% V2J	24.00%	Achieved	Below SotA
WL4	SAN_2024	Plus	Resource optimisation	Multiple conditions	Dermatologists	Relative	N/A	increase in patients that can be managed remotely	56.00%	≥40.00%	56.00% WL4	55.00%	Achieved	Exceeds SotA
LYP	SAN_2024	Plus	Delphi-based consensus	Multiple conditions	Dermatologists	Absolute	N/A		87.00%	<75.00%	87.00% LYP	70.00%	Not Achieved	Below SotA
8MV	SAN_2024	Plus	Delphi-based consensus	Multiple conditions	Dermatologists	Absolute	N/A		100.00%	≥75.00%	84.33% 3OARNDP30EZ13BDNVTVCT8MV	70.00%	Achieved	Exceeds SotA

Performance Claim Statements

LL5

Achieved

The device enables better objective severity assessment of hidradenitis supurativa with a inter-observer intraclass correlation coefficient (ICC) value of 72.70% which is equal to or greater than the state of the art, based on expert assessment.

SDP

Achieved

The device enables better objective severity assessment of hidradenitis supurativa with a inter-class coefficient correlation variability (ICC) value of 10.00% which is lower than the state of the art, based on expert assessment.

MRT

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-1 accuracy value of 15.12% which is equal to or greater than the state of the art.

9D7

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-1 accuracy value of 63.06% which is greater than the state of the art.

ZKC

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-1 accuracy value of 63.06% which is equal to or greater than the state of the art.

02A

Achieved

The device enables better diagnostic accuracy of multiple conditions with a sensitivity value of 18.43% which is greater than the state of the art.

5IT

Achieved

The device enables better diagnostic accuracy of multiple conditions with a sensitivity value of 71.04% which is greater than the state of the art.

ASM

Achieved

The device enables better diagnostic accuracy of multiple conditions with a sensitivity value of 71.04% which is greater than the state of the art.

X70

Achieved

The device enables better diagnostic accuracy of multiple conditions with a specificity value of 19.38% which is equal to or greater than the state of the art.

0ZD

Achieved

The device enables better diagnostic accuracy of multiple conditions with a specificity value of 75.83% which is equal to or greater than the state of the art.

MJY

Achieved

The device enables better diagnostic accuracy of multiple conditions with a specificity value of 75.83% which is greater than the state of the art.

O4L

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-1 accuracy value of 17.00% which is equal to or greater than the state of the art.

GZS

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-1 accuracy value of 61.71% which is equal to or greater than the state of the art.

31Q

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-1 accuracy value of 61.71% which is equal to or greater than the state of the art.

81T

Achieved

The device enables better diagnostic accuracy of multiple conditions with a sensitivity value of 18.43% which is equal to or greater than the state of the art.

37G

Achieved

The device enables better diagnostic accuracy of multiple conditions with a sensitivity value of 71.04% which is equal to or greater than the state of the art.

19H

Achieved

The device enables better diagnostic accuracy of multiple conditions with a sensitivity value of 71.04% which is greater than the state of the art.

0H6

Achieved

The device enables better diagnostic accuracy of multiple conditions with a specificity value of 19.38% which is equal to or greater than the state of the art.

H3D

Achieved

The device enables better diagnostic accuracy of multiple conditions with a specificity value of 75.83% which is equal to or greater than the state of the art.

0QF

Achieved

The device enables better diagnostic accuracy of multiple conditions with a specificity value of 75.83% which is greater than the state of the art.

6FT

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-1 accuracy value of 8.30% which is equal to or greater than the state of the art.

GU0

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-1 accuracy value of 65.65% which is equal to or greater than the state of the art.

47J

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-1 accuracy value of 65.65% which is equal to or greater than the state of the art.

W8N

Achieved

The device enables better diagnostic accuracy of multiple conditions with a sensitivity value of 9.37% which is equal to or greater than the state of the art.

A76

Achieved

The device enables better diagnostic accuracy of multiple conditions with a sensitivity value of 71.01% which is equal to or greater than the state of the art.

CUC

Achieved

The device enables better diagnostic accuracy of multiple conditions with a sensitivity value of 71.01% which is greater than the state of the art.

R9C

Achieved

The device enables better diagnostic accuracy of multiple conditions with a specificity value of 10.61% which is equal to or greater than the state of the art.

9MI

Not Achieved

The device enables better diagnostic accuracy of multiple conditions with a specificity value of 73.08% which is equal to or greater than the state of the art.

NLW

Achieved

The device enables better diagnostic accuracy of multiple conditions with a specificity value of 73.08% which is greater than the state of the art.

DII

Achieved

The device enables better diagnostic accuracy of rare diseases with a top-1 accuracy value of 26.77% which is equal to or greater than the state of the art.

KOQ

Achieved

The device enables better diagnostic accuracy of rare diseases with a top-1 accuracy value of 57.88% which is equal to or greater than the state of the art.

NK7

Achieved

The device enables better diagnostic accuracy of rare diseases with a sensitivity value of 25.56% which is equal to or greater than the state of the art.

DR7

Achieved

The device enables better diagnostic accuracy of rare diseases with a sensitivity value of 46.59% which is greater than the state of the art.

0I1

Achieved

The device enables better diagnostic accuracy of rare diseases with a specificity value of 23.50% which is equal to or greater than the state of the art.

WAM

Achieved

The device enables better diagnostic accuracy of rare diseases with a specificity value of 62.19% which is greater than the state of the art.

JBB

Achieved

The device enables better diagnostic accuracy of rare diseases with a top-1 accuracy value of 32.10% which is equal to or greater than the state of the art.

ERK

Achieved

The device enables better diagnostic accuracy of rare diseases with a top-1 accuracy value of 56.44% which is equal to or greater than the state of the art.

8PG

Achieved

The device enables better diagnostic accuracy of rare diseases with a sensitivity value of 25.21% which is equal to or greater than the state of the art.

DIK

Achieved

The device enables better diagnostic accuracy of rare diseases with a sensitivity value of 44.55% which is greater than the state of the art.

99Y

Achieved

The device enables better diagnostic accuracy of rare diseases with a specificity value of 24.73% which is equal to or greater than the state of the art.

8QZ

Achieved

The device enables better diagnostic accuracy of rare diseases with a specificity value of 61.36% which is greater than the state of the art.

4KO

Achieved

The device enables better diagnostic accuracy of rare diseases with a top-1 accuracy value of 12.97% which is equal to or greater than the state of the art.

S03

Achieved

The device enables better diagnostic accuracy of rare diseases with a top-1 accuracy value of 61.11% which is equal to or greater than the state of the art.

TG6

Achieved

The device enables better diagnostic accuracy of rare diseases with a sensitivity value of 16.44% which is equal to or greater than the state of the art.

OR5

Achieved

The device enables better diagnostic accuracy of rare diseases with a sensitivity value of 52.33% which is greater than the state of the art.

Q2D

Achieved

The device enables better diagnostic accuracy of rare diseases with a specificity value of 15.41% which is equal to or greater than the state of the art.

MM8

Achieved

The device enables better diagnostic accuracy of rare diseases with a specificity value of 71.08% which is greater than the state of the art.

3OA

Achieved

The device enables better delphi-based consensus of multiple conditions with a null (CUS) value of 80.00% which is equal to or greater than the state of the art.

ZGP

Not Achieved

The device enables better delphi-based consensus of multiple conditions with a null value of 50.00% which is between range the state of the art.

RND

Achieved

The device enables better delphi-based consensus of multiple conditions with a null value of 100.00% which is equal to or greater than the state of the art.

P30

Achieved

The device enables better delphi-based consensus of multiple conditions with a null value of 100.00% which is equal to or greater than the state of the art.

EZ1

Achieved

The device enables better delphi-based consensus of multiple conditions with a null value of 83.00% which is equal to or greater than the state of the art.

3BD

Not Achieved

The device enables better delphi-based consensus of multiple conditions with a null value of 67.00% which is equal to or greater than the state of the art.

NVT

Not Achieved

The device enables better delphi-based consensus of multiple conditions with a null (CUS) value of 76.67% which is equal to or greater than the state of the art.

EAC

Achieved

The device enables better detection of multiple malignant conditions with a area under the ROC curve (AUC) value of 84.20% which is equal to or greater than the state of the art.

8H5

Not Achieved

The device enables better resource optimisation of multiple conditions with a increase in the adequacy of referrals value of 7.00% which is equal to or greater than the state of the art.

VCT

Achieved

The device enables better delphi-based consensus of multiple conditions with a null value of 80.00% which is equal to or greater than the state of the art.

DX7

Achieved

The device enables better detection of multiple malignant conditions with a area under the ROC curve (AUC) value of 82.00% which is equal to or greater than the state of the art.

LU4

Not Achieved

The device enables better detection of multiple malignant conditions with a sensitivity value of 57.14% which is equal to or greater than the state of the art.

R9P

Achieved

The device enables better detection of multiple malignant conditions with a specificity value of 93.53% which is equal to or greater than the state of the art.

0L2

Achieved

The device enables better detection of multiple malignant conditions with a positive predictive value (PPV) value of 42.00% which is equal to or greater than the state of the art.

7ZI

Achieved

The device enables better detection of multiple malignant conditions with a negative predictive value (NPV) value of 96.00% which is equal to or greater than the state of the art.

D62

Achieved

The device enables better adequacy of referrals of multiple conditions with a null value of 38.00% which is equal to or greater than the state of the art.

CST

Achieved

The device enables better adequacy of referrals of multiple conditions with a sensitivity value of 74.00% which is equal to or greater than the state of the art.

6H0

Achieved

The device enables better adequacy of referrals of multiple conditions with a sensitivity value of 74.00% which is equal to or greater than the state of the art.

H4U

Achieved

The device enables better adequacy of referrals of multiple conditions with a specificity value of 67.00% which is equal to or greater than the state of the art.

04D

Achieved

The device enables better adequacy of referrals of multiple conditions with a specificity value of 67.00% which is equal to or greater than the state of the art.

DCH

Achieved

The device enables better adequacy of referrals of multiple conditions with a adequacy of referrals during in-person care value of 78.60% which is equal to or greater than the state of the art.

DZC

Achieved

The device enables better adequacy of referrals of multiple conditions with a adequacy of referrals during in-person care value of 67.60% which is equal to or greater than the state of the art.

LHF

Achieved

The device enables better adequacy of referrals of multiple conditions with a adequacy of referrals during remote care value of 33.00% which is equal to or greater than the state of the art.

4BO

Achieved

The device enables better adequacy of referrals of multiple conditions with a adequacy of referrals during remote care value of 67.00% which is equal to or greater than the state of the art.

KPQ

Achieved

The device enables better resource optimisation of multiple conditions with a reduction in the number of days value of 84.37% which is greater than the state of the art.

1M1

Achieved

The device enables better resource optimisation of multiple conditions with a reduction in the number of days value of 56.00% which is equal to or greater than the state of the art.

UGS

Achieved

The device enables better resource optimisation of multiple conditions with a reduction in the number of days value of 5 days which is lower than the state of the art.

LXJ

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-1 accuracy value of 82.14% which is equal to or greater than the state of the art.

KW3

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-1 accuracy value of 78.57% which is equal to or greater than the state of the art.

7V9

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-3 accuracy value of 89.29% which is equal to or greater than the state of the art.

1S5

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-5 accuracy value of 89.29% which is equal to or greater than the state of the art.

FIQ

Achieved

The device enables better detection of multiple malignant conditions with a area under the ROC curve (AUC) value of 97.00% which is equal to or greater than the state of the art.

GS5

Achieved

The device enables better detection of multiple malignant conditions with a sensitivity value of 87.50% which is equal to or greater than the state of the art.

6EP

Achieved

The device enables better detection of multiple malignant conditions with a specificity value of 97.06% which is equal to or greater than the state of the art.

PZD

Achieved

The device enables better detection of multiple malignant conditions with a positive predictive value (PPV) value of 87.50% which is equal to or greater than the state of the art.

V2U

Achieved

The device enables better detection of multiple malignant conditions with a negative predictive value (NPV) value of 97.06% which is equal to or greater than the state of the art.

JWQ

Achieved

The device enables better objective severity assessment of androgenetic alopecia with a correlation value of 77.00% which is equal to or greater than the state of the art, based on expert assessment.

A1Q

Achieved

The device enables better objective severity assessment of androgenetic alopecia with a unweighted Kappa value of 73.97% which is equal to or greater than the state of the art, based on expert assessment.

284

Not Achieved

The device enables better objective severity assessment of androgenetic alopecia with a correlation value of 47.00% which is equal to or greater than the state of the art, based on expert assessment.

3OB

Not Achieved

The device enables better objective severity assessment of androgenetic alopecia with a unweighted Kappa value of 32.97% which is equal to or greater than the state of the art, based on expert assessment.

7TS

Achieved

The device enables better objective severity assessment of androgenetic alopecia with a correlation value of 53.00% which is equal to or greater than the state of the art, based on expert assessment.

WGP

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-1 accuracy value of 55.00% which is equal to or greater than the state of the art.

6R7

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-3 accuracy value of 75.69% which is equal to or greater than the state of the art.

EYP

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-5 accuracy value of 84.22% which is equal to or greater than the state of the art.

6U1

Achieved

The device enables better detection of melanoma with a area under the ROC curve (AUC) value of 85.00% which is equal to or greater than the state of the art.

JFM

Achieved

The device enables better detection of melanoma with a top-1 accuracy value of 81.00% which is equal to or greater than the state of the art.

ZM8

Achieved

The device enables better detection of melanoma with a sensitivity value of 93.00% which is equal to or greater than the state of the art.

4JY

Achieved

The device enables better detection of melanoma with a specificity value of 80.00% which is equal to or greater than the state of the art.

9OD

Achieved

The device enables better detection of multiple malignant conditions with a area under the ROC curve (AUC) value of 89.83% which is equal to or greater than the state of the art.

BRI

Achieved

The device enables better detection of multiple malignant conditions with a sensitivity value of 81.00% which is equal to or greater than the state of the art.

VFY

Achieved

The device enables better detection of multiple malignant conditions with a specificity value of 86.00% which is equal to or greater than the state of the art.

9G4

Achieved

The device enables better detection of multiple malignant conditions with a positive predictive value (PPV) value of 92.47% which is equal to or greater than the state of the art.

Z96

Not Achieved

The device enables better detection of multiple malignant conditions with a negative predictive value (NPV) value of 67.89% which is equal to or greater than the state of the art.

6KX

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-1 accuracy value of 18.15% which is equal to or greater than the state of the art.

CZR

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-1 accuracy value of 81.85% which is equal to or greater than the state of the art.

F16

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-1 accuracy value of 81.85% which is equal to or greater than the state of the art.

09O

Achieved

The device enables better diagnostic accuracy of multiple conditions with a sensitivity value of 14.60% which is equal to or greater than the state of the art.

HUG

Achieved

The device enables better diagnostic accuracy of multiple conditions with a sensitivity value of 83.15% which is equal to or greater than the state of the art.

JZ1

Achieved

The device enables better diagnostic accuracy of multiple conditions with a sensitivity value of 83.15% which is equal to or greater than the state of the art.

VEF

Achieved

The device enables better diagnostic accuracy of multiple conditions with a specificity value of 11.90% which is equal to or greater than the state of the art.

QX8

Achieved

The device enables better diagnostic accuracy of multiple conditions with a specificity value of 89.91% which is equal to or greater than the state of the art.

VCN

Achieved

The device enables better diagnostic accuracy of multiple conditions with a specificity value of 89.91% which is equal to or greater than the state of the art.

I7Y

Achieved

The device enables better diagnostic accuracy of rare diseases, pustular psoriasis with a top-1 accuracy value of 16.66% which is equal to or greater than the state of the art.

Z90

Achieved

The device enables better diagnostic accuracy of rare diseases, pustular psoriasis with a top-1 accuracy value of 22.22% which is equal to or greater than the state of the art.

6YW

Achieved

The device enables better diagnostic accuracy of rare diseases, pustular psoriasis with a sensitivity value of 22.22% which is equal to or greater than the state of the art.

REV

Achieved

The device enables better diagnostic accuracy of rare diseases, pustular psoriasis with a sensitivity value of 44.44% which is greater than the state of the art.

5W2

Achieved

The device enables better diagnostic accuracy of rare diseases, pustular psoriasis with a specificity value of 51.85% which is equal to or greater than the state of the art.

CH0

Achieved

The device enables better diagnostic accuracy of rare diseases, pustular psoriasis with a specificity value of 74.07% which is greater than the state of the art.

IP4

Achieved

The device enables better resource optimisation of multiple conditions with a reduction in the number of days value of 60.70% which is equal to or greater than the state of the art.

WOI

Achieved

The device enables better resource optimisation of multiple conditions with a increase in patients that can be managed remotely value of 49.00% which is equal to or greater than the state of the art.

61I

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-1 accuracy value of 20.00% which is equal to or greater than the state of the art.

YJC

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-1 accuracy value of 88.78% which is equal to or greater than the state of the art.

ME3

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-1 accuracy value of 88.78% which is equal to or greater than the state of the art.

A84

Achieved

The device enables better diagnostic accuracy of multiple conditions with a sensitivity value of 28.03% which is equal to or greater than the state of the art.

5UM

Achieved

The device enables better diagnostic accuracy of multiple conditions with a sensitivity value of 80.64% which is greater than the state of the art.

S2C

Achieved

The device enables better diagnostic accuracy of multiple conditions with a sensitivity value of 80.64% which is greater than the state of the art.

ZGT

Achieved

The device enables better diagnostic accuracy of multiple conditions with a specificity value of 30.39% which is equal to or greater than the state of the art.

FEH

Achieved

The device enables better diagnostic accuracy of multiple conditions with a specificity value of 86.84% which is greater than the state of the art.

VFV

Achieved

The device enables better diagnostic accuracy of multiple conditions with a specificity value of 86.84% which is greater than the state of the art.

AR8

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-1 accuracy value of 27.00% which is equal to or greater than the state of the art.

5XF

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-1 accuracy value of 89.92% which is equal to or greater than the state of the art.

R7X

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-1 accuracy value of 89.92% which is equal to or greater than the state of the art.

7YC

Achieved

The device enables better diagnostic accuracy of multiple conditions with a sensitivity value of 24.95% which is equal to or greater than the state of the art.

KPM

Achieved

The device enables better diagnostic accuracy of multiple conditions with a sensitivity value of 76.53% which is equal to or greater than the state of the art.

2W5

Achieved

The device enables better diagnostic accuracy of multiple conditions with a sensitivity value of 76.53% which is greater than the state of the art.

9YX

Achieved

The device enables better diagnostic accuracy of multiple conditions with a specificity value of 29.80% which is equal to or greater than the state of the art.

FBJ

Achieved

The device enables better diagnostic accuracy of multiple conditions with a specificity value of 84.15% which is equal to or greater than the state of the art.

N2E

Achieved

The device enables better diagnostic accuracy of multiple conditions with a specificity value of 84.15% which is greater than the state of the art.

O0B

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-1 accuracy value of 10.50% which is equal to or greater than the state of the art.

8V3

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-1 accuracy value of 86.93% which is greater than the state of the art.

UC7

Achieved

The device enables better diagnostic accuracy of multiple conditions with a top-1 accuracy value of 86.93% which is greater than the state of the art.

BHO

Achieved

The device enables better diagnostic accuracy of multiple conditions with a sensitivity value of 14.70% which is equal to or greater than the state of the art.

Q5G

Achieved

The device enables better diagnostic accuracy of multiple conditions with a sensitivity value of 85.08% which is equal to or greater than the state of the art.

3GH

Achieved

The device enables better diagnostic accuracy of multiple conditions with a sensitivity value of 85.08% which is greater than the state of the art.

N50

Achieved

The device enables better diagnostic accuracy of multiple conditions with a specificity value of 8.37% which is equal to or greater than the state of the art.

B4N

Achieved

The device enables better diagnostic accuracy of multiple conditions with a specificity value of 90.72% which is equal to or greater than the state of the art.

YIO

Achieved

The device enables better diagnostic accuracy of multiple conditions with a specificity value of 90.72% which is greater than the state of the art.

V2J

Achieved

The device enables better resource optimisation of multiple conditions with a reduction in the number of days value of 42.00% which is lower than the state of the art.

WL4

Achieved

The device enables better resource optimisation of multiple conditions with a increase in patients that can be managed remotely value of 56.00% which is equal to or greater than the state of the art.

LYP

Not Achieved

The device enables better delphi-based consensus of multiple conditions with a null value of 87.00% which is lower than the state of the art.

8MV

Achieved

The device enables better delphi-based consensus of multiple conditions with a null value of 100.00% which is equal to or greater than the state of the art.

Check out the Clinical Benefits.