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Evaluating Legit.Health Plus Support for Improving Diagnosis of Generalized Pustular Psoriasis and Other Skin Conditions Among Primary Care Physicians and Dermatologists

NCT07428915 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 15

Last updated 2026-02-24

No results posted yet for this study

Summary

This study aims to determine if an artificial intelligence (AI) medical device can help healthcare professionals more accurately diagnose rare and complex skin conditions. Dermatological issues are common in primary care, but there is often a gap in diagnostic accuracy between general practitioners and specialists, which can lead to treatment delays for serious conditions like Generalized Pustular Psoriasis (GPP) and Hidradenitis Suppurativa (HS).

The researchers hypothesized that the AI device would enhance the diagnostic accuracy of healthcare professionals for GPP and other dermatological conditions. To test this, the study followed a prospective observational design involving 15 practitioners, including both general practitioners and dermatologists.

During the study, participants were asked to evaluate 100 clinical images. For each case, they first provided a diagnosis based on the image and patient history alone. They were then shown the AI's analysis-which included the top five suggested diagnoses and confidence levels-and asked if they would like to adjust their initial assessment.

The primary question the study sought to answer was whether the information provided by the AI device could significantly increase the number of correct diagnoses made by these professionals, particularly for rare diseases that are often difficult to identify in a standard clinical setting

Conditions

  • Pustular Psoriasis (PP)
  • Generalized Pustular Psoriasis (GPP)
  • Eczema Atopic Dermatitis
  • Acute Generalized Exanthematous Pustulosis
  • Acne
  • Acne Conglobata
  • Seborrheic Keratoses
  • Seborrheic Dermatitis
  • Palmoplantar Pustulosis
  • Plaque Psoriasis
  • Pemphigus Vulgaris (PV)
  • Impetigo
  • Hidradenitis Suppurativa (HS)
  • Tinea Corporis

Interventions

DEVICE

AI-based medical device for aided diagnosis in Dermatology

The intervention consists of a Computer-Aided Diagnosis (CAD) software-only medical device that utilizes computer vision algorithms to analyze digital images of skin structures. During the study, healthcare professionals use the tool as a diagnostic support system to assist in the evaluation of complex dermatological conditions.

Sponsors & Collaborators

  • AI Labs Group S.L

    lead INDUSTRY

Principal Investigators

  • Antonio Martorell, PhD · Hospital Universitari de Manises

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-06-01
Primary Completion
2024-09-15
Completion
2024-09-15

Countries

  • Spain

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07428915 on ClinicalTrials.gov