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Clinical Validation Studies

This section provides full bibliographic references for the clinical validation studies cited in the Clinical Benefits and Performance Claims section. Each study code that appears alongside a performance metric is defined below with its complete study metadata.

Study-to-Benefit Cross-Reference

The following table summarises which clinical benefits each study supports. Clinical benefit codes are defined in the Clinical Benefit Identifiers section.

StudyClinical Benefits SupportedClaims
MC_EVCDAO_2019
7GH1QF
12
COVIDX_EVCDAO_2022
3KX5RB0ZC
7
DAO_Derivación_PH_2022
3KX8PL1QF
3
IDEI_2023
7GH1QF5RB
14
SAN_2024
7GH3KX0ZC
31
BI_2024
7GH9VW
45
PH_2024
7GH3KX9VW0ZC
17
DAO_Derivation_O_2022
3KX8PL1QF0ZC
17
AIHS4 2025
5RB
2

Study Bibliography

MC_EVCDAO_2019

Clinical validation study of a CAD system with artificial intelligence algorithms for early noninvasive in vivo cutaneous melanoma detection

  • Principal investigator(s): Dr. Jesus Gardeazabal Garcia; Dr. Rosa Ma Izu Belloso
  • Investigational site(s): Hospital Universitario Cruces; Hospital Universitario Basurto
  • Sample size: 105 participants
  • Study period: February 2020 November 2023
  • Device version: Legit.Health Legacy Device
  • Publication status: Expected to be sent in May 2025 to the Journal of the European Academy of Dermatology and Venereology Clinical Practice
COVIDX_EVCDAO_2022

Clinical Validation of a Computer-Aided Diagnosis (CAD) System Utilizing Artificial Intelligence Algorithms for Continuous and Remote Monitoring of Patient Condition Severity in an Objective and Stable Manner

  • Principal investigator(s): Dra. Marta Andreu
  • Investigational site(s): Torrejón University Hospital
  • Sample size: 160 participants
  • Study period: April 2022 October 2023
  • Device version: Legit.Health Plus
  • Publication status: Not yet submitted for publication
DAO_Derivación_PH_2022

Project to enhance Dermatology E-Consultations in Primary Care Centres using Artificial Intelligence Tools

  • Principal investigator(s): Dr. Gastón Roustan Gullón
  • Investigational site(s): Pozuelo and Majadahonda Health Centers; Puerta del Hierro Majadahonda University Hospital
  • Sample size: 131 participants
  • Study period: June 2022 January 2024
  • Device version: Legit.Health Plus
  • Publication status: Not yet submitted for publication
IDEI_2023

Optimisation of clinical flow in patients with dermatological conditions using Artificial Intelligence

  • Principal investigator(s): Dr. Miguel Sánchez Viera
  • Investigational site(s): Instituto de Dermatología Integral (IDEI)
  • Sample size: 204 participants
  • Study period: January 2024 August 2024
  • Device version: Legit.Health Plus
  • Publication status: Not yet submitted for publication
SAN_2024

Non-invasive prospective Pilot in a Live Environment for the Improvement of diagnosis of skin pathologies in Primary Care and Dermatology

  • Principal investigator(s): Dr. Antonio Martorell Calatayud
  • Investigational site(s): This study was conducted remotely by sending the images to the participating professionals.
  • Sample size: 29 participants
  • Study period: June 2024 October 2024
  • Device version: Legit.Health Plus
  • Publication status: Not yet submitted for publication
BI_2024

Non-Invasive Prospective Pilot in a Live Environment for the improvement of diagnosis of Generalized Pustular Psoriasis

  • Principal investigator(s): Dr. Antonio Martorell Calatayud
  • Investigational site(s): This study was conducted remotely by sending the images to the participating dermatologists.
  • Sample size: 100 participants
  • Study period: June 2024 September 2024
  • Device version: Legit.Health Plus
  • Publication status: Not yet submitted for publication
PH_2024

Non-invasive prospective Pilot in a Live Environment for the Improvement of the diagnosis of skin pathologies in Primary Care

  • Principal investigator(s): Dr. Gastón Roustán Gullon
  • Investigational site(s): This study was conducted remotely by sending the images to the participating professionals.
  • Sample size: 30 participants
  • Study period: June 2024 September 2024
  • Device version: Legit.Health Plus
  • Publication status: Not yet submitted for publication
DAO_Derivation_O_2022

Pilot study for the clinical validation of an artificial intelligence algorithm to optimize the appropriateness of dermatology referrals. (Ongoing Study)

  • Principal investigator(s): Dr. Jesús Gardeazabal García; Dr. Rosa Mª Izu Belloso
  • Investigational site(s): Health Centre Sodupe-Güeñes; Health Centre Balmaseda; Health Centre Buruaga; Health Centre Zurbaran
  • Sample size: 117 participants
  • Study period: November 2022 April 2025
  • Device version: Legit.Health Plus
  • Publication status: Not yet submitted for publication
AIHS4 2025

Evaluation of AIHS4 Performance in the M-27134-01 Clinical Trial for Hidradenitis Suppurativa

  • Principal investigator(s): Dr. Antonio Martorell Calatayud
  • Investigational site(s): This study was conducted remotely based on clinical trial image evaluations.
  • Sample size: 2 participants
  • Study period: June 2024 July 2024
  • Device version: Legit.Health Plus
  • Publication status: Published (May 2023)