Clinical Trial

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

Study acronym: LegitHealth BI
Completed
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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
Trial Details
NCT Number NCT07428915
Lead Sponsor AI Labs Group S.L
Conditions Pustular Psoriasis (PP), Generalized Pustular Psoriasis (GPP), Eczema Atopic Dermatitis, Acute Generalized Exanthematous Pustulosis, Acne, Acne Conglobata, Seborrheic Keratoses, Seborrheic Dermatitis +6 more
Enrollment 15 participants
Start Date 2024-06-01
Primary Completion 2024-09-15 (estimated)
Study Completion 2024-09-15 (estimated)
Updated on ClinicalTrials.gov 2026-02-24