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QMS
  • Welcome to your QMS
  • Quality Manual
  • Procedures
  • Records
  • Legit.Health Plus Version 1.1.0.0
    • CAPA Plan - BSI CE Mark Closeout
    • Index
    • Overview and Device Description
    • Information provided by the Manufacturer
    • Design and Manufacturing Information
    • GSPR
    • Benefit-Risk Analysis and Risk Management
    • Product Verification and Validation
      • Software
      • Artificial Intelligence
      • Cybersecurity
      • Usability and Human Factors Engineering
      • Clinical
        • Evaluation
        • Investigation
          • 🗄 Drafts
          • AFF_2026
          • ALADIN 2026
          • AVASI_2026
          • AWOSI_2026
          • ICD_DXP_2026
          • Sant_Pau_2024
          • VH_clinical_2025
          • VH_triaje_2025
          • aEASI_HVN_2026
          • ADS TLD DAO 2025
          • AIHS4 2025
          • BI 2024
          • COVIDX EVCDAO 2022
          • DAO Derivación O 2022
          • DAO Derivación PH 2022
          • IDEI 2023
          • MAN 2025
            • R-TF-015-004 Clinical investigation plan
            • R-TF-015-006 Clinical investigation report
            • R-TF-015-010 Annex E ISO 14155
          • MC EVCDAO 2019
          • PH 2024
          • SAN 2024
        • Legit.Health-US-version-1-1-0-0
      • Commissioning
    • Post-Market Surveillance
  • Legit.Health Plus Version 1.1.0.1
  • Legit.Health version 2.1 (Legacy MDD)
  • Legit.Health Utilities
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  • BSI Non-Conformities
  • Pricing
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  • Legit.Health Plus Version 1.1.0.0
  • Product Verification and Validation
  • Clinical
  • Investigation
  • MAN 2025
  • R-TF-015-006 Clinical investigation report

R-TF-015-006 Clinical investigation report

Research Title​

Multi-Reader Multi-Case (MRMC) Study for Assessing the Performance of Legit.Health Plus on Fitzpatrick V-VI Phototype Skin Lesions

Product Identification​

Information
Device nameLegit.Health Plus (hereinafter, the device)
Model and typeNA
Version1.1.0.0
Basic UDI-DI8437025550LegitCADx6X
Certificate number (if available)MDR 000000 (Pending)
EMDN code(s)Z12040192 (General medicine diagnosis and monitoring instruments - Medical device software)
GMDN code65975
EU MDR 2017/745Class IIb
EU MDR Classification ruleRule 11
Novel product (True/False)TRUE
Novel related clinical procedure (True/False)TRUE
SRNES-MF-000025345

Sponsor Identification and Contact​

Manufacturer data
Legal manufacturer nameAI Labs Group S.L.
AddressStreet Gran Vía 1, BAT Tower, 48001, Bilbao, Bizkaia (Spain)
SRNES-MF-000025345
Person responsible for regulatory complianceAlfonso Medela, Saray Ugidos
E-mailoffice@legit.health
Phone+34 638127476
TrademarkLegit.Health
Authorized RepresentativeNot applicable (manufacturer is based in EU)

Identification of the Clinical Investigation Plan (CIP)​

CIP
Title of the clinical investigationMulti-Reader Multi-Case Study for Evaluating the Diagnostic Performance of Healthcare Professionals Assisted by Legit.Health Plus on Fitzpatrick Phototype V–VI Skin Presentations
Device under investigationLegit.Health Plus
Protocol versionVersion 1.0
Date2026-04-14
Protocol codeLEGIT.HEALTH_MAN_2025
SponsorAI Labs Group S.L.
Coordinating InvestigatorDr. Antonio Martorell Calatayud
Principal Investigator(s)Dr. Antonio Martorell Calatayud
Investigational site(s)This study is conducted remotely through a centralized web-based platform.
Ethics CommitteeThis study does not require Ethics Committee approval because it is observational and non-interventional. All data used consists of fully anonymized images sourced from public dermatology atlases and databases, containing no information permitting patient identification. As such, the research meets the criteria for exemption from ethics committee review under applicable regulatory frameworks.

Study Design​

This is a prospective, observational, multi-reader, multi-case (MRMC) self-controlled study evaluating whether the device improves the diagnostic accuracy of dermatologists on clinical images representing Fitzpatrick phototype V–VI skin. A minimum of 5 dermatologists were presented with 149 clinical cases sourced from public dermatological atlases.

Progressive information disclosure​

For each clinical case, every reader completed a sequence of three assessment stages with progressively more device information:

  1. Unassisted diagnosis (Stage 1): The reader viewed the clinical image and patient anamnesis, and provided their primary diagnosis without any device output.
  2. Assisted diagnosis (Stage 2): The device's differential diagnosis (ICD-11 probability distribution) was additionally displayed. The reader provided their revised diagnosis.
  3. Referral assessment (Stage 3): The device's malignancy probability, referral recommendation, and diagnostic entropy were additionally displayed. The reader decided whether to refer the patient.

The stages were completed sequentially for each case before the reader proceeded to the next case. The order of case presentation was independently randomised for each reader to prevent order effects. This sequential per-case design mirrors the intended clinical workflow and ensures that the unassisted diagnosis is recorded before the reader sees any device output.

Reference standard​

The reference standard for diagnostic accuracy is the published atlas diagnosis — the diagnosis assigned to each clinical image by the originating public dermatological atlas. The ground truth diagnosis is encoded as an ICD-11 code for each case and was established prior to and independently of this study.

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R-TF-015-004 Clinical investigation plan
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R-TF-015-010 Annex E ISO 14155
  • Research Title
  • Product Identification
  • Sponsor Identification and Contact
  • Identification of the Clinical Investigation Plan (CIP)
  • Study Design
    • Progressive information disclosure
    • Reference standard
All the information contained in this QMS is confidential. The recipient agrees not to transmit or reproduce the information, neither by himself nor by third parties, through whichever means, without obtaining the prior written permission of Legit.Health (AI Labs Group S.L.)