R-TF-015-002 Preclinical and clinical evaluation record_2023_001
Scope
This literature review compiles and evaluates state-of-the-art publications on computer vision in medicine. The overall objective of this strategy is to identify, select and collect the relevant literature to determine whether the device can achieve its intended purpose.
Medical device information
Manufacturer contact details
Manufacturer data | |
---|---|
Legal manufacturer name | AI Labs Group S.L. |
Address | Street Gran Vía 1, BAT Tower, 48001, Bilbao, Bizkaia (Spain) |
SRN | ES-MF-000025345 |
Person responsible for regulatory compliance | Alfonso Medela, María Diez, Giulia Foglia |
office@legit.health | |
Phone | +34 638127476 |
Trademark | Legit.Health |
Medical device characterization
Information | |
---|---|
Device name | Legit.Health Plus (hereinafter, the device) |
Model and type | NA |
Version | 1.0.0.0 |
Basic UDI-DI | 8437025550LegitCADx6X |
Certificate number (if available) | MDR 792790 |
EMDN code(s) | Z12040192 (General medicine diagnosis and monitoring instruments - Medical device software) |
GMDN code | 65975 |
Class | Class IIb |
Classification rule | Rule 11 |
Novel product (True/False) | FALSE |
Novel related clinical procedure (True/False) | FALSE |
SRN | ES-MF-000025345 |
Intended purpose
Intended use
The device is a computational software-only medical device intended to support health care providers in the assessment of skin structures, enhancing efficiency and accuracy of care delivery, by providing:
- quantification of intensity, count, extent of visible clinical signs
- interpretative distribution representation of possible International Classification of Diseases (ICD) categories.
Quantification of intensity, count and extent of visible clinical signs
The device provides quantifiable data on the intensity, count and extent of clinical signs such as erythema, desquamation, and induration, among others; including, but not limited to:
- erythema,
- desquamation,
- induration,
- crusting,
- xerosis (dryness),
- swelling (oedema),
- oozing,
- excoriation,
- lichenification,
- exudation,
- wound depth,
- wound border,
- undermining,
- hair loss,
- necrotic tissue,
- granulation tissue,
- epithelialization,
- nodule,
- papule
- pustule,
- cyst,
- comedone,
- abscess,
- draining tunnel,
- inflammatory lesion,
- exposed wound, bone and/or adjacent tissues,
- slough or biofilm,
- maceration,
- external material over the lesion,
- hypopigmentation or depigmentation,
- hyperpigmentation,
- scar,
- ictericia
Image-based recognition of visible ICD categories
The device is intended to provide an interpretative distribution representation of possible International Classification of Diseases (ICD) categories that might be represented in the pixels content of the image.
Device description
The device is a computational software-only medical device leveraging computer vision algorithms to process images of the epidermis, the dermis and its appendages, among other skin structures. Its principal function is to provide a wide range of clinical data from the analyzed images to assist healthcare practitioners in their clinical evaluations and allow healthcare provider organisations to gather data and improve their workflows.
The generated data is intended to aid healthcare practitioners and organizations in their clinical decision-making process, thus enhancing the efficiency and accuracy of care delivery.
The device should never be used to confirm a clinical diagnosis. On the contrary, its result is one element of the overall clinical assessment. Indeed, the device is designed to be used when a healthcare practitioner chooses to obtain additional information to consider a decision.
Intended medical indication
The device is indicated for use on images of visible skin structure abnormalities to support the assessment of all diseases of the skin incorporating conditions affecting the epidermis, its appendages (hair, hair follicle, sebaceous glands, apocrine sweat gland apparatus, eccrine sweat gland apparatus and nails) and associated mucous membranes (conjunctival, oral and genital), the dermis, the cutaneous vasculature and the subcutaneous tissue (subcutis).
Intended patient population
The device is intended for use on images of skin from patients presenting visible skin structure abnormalities, across all age groups, skin types, and demographics.
Intended user
The medical device is intended for use by healthcare providers to aid in the assessment of skin structures.
User qualification and competencies
In this section we specificy the specific qualifications and competencies needed for users of the device, to properly use the device, provided that they already belong to their professional category. In other words, when describing the qualifications of HCPs, it is assumed that healthcare professionals (HCPs) already have the qualifications and competencies native to their profession.
Healthcare professionals
No official qualifications are needes, but it is advisable if HCPs have some competencies:
- Knowledge on how to take images with smartphones.
IT professionals
IT professionals are responsible for the integration of the medical device into the healthcare organisation's system.
No specific official qualifications are needed, but it is advisable that IT professionals using the device have the following competencies:
- Basic knowledge of FHIR
- Understanding of the output of the device.
Use environment
The device is intended to be used in the setting of healthcare organisations and their IT departments, which commonly are situated inside hospitals or other clinical facilities.
The device is intended to be integrated into the healthcare organisation's system by IT professionals.
Operating principle
The device is computational medical tool leveraging computer vision algorithms to process images of the epidermis, the dermis and its appendages, among other skin structures.