Diagnosis Evaluation Made by Artificial Inteligence in Response to a Request Made by General Praticioner on OMNIDOC to the Dermatologist of the CHU of Nice. A Comparison of This Response by the One Made by the Dermatologist.

January 9, 2026 updated by: Centre Hospitalier Universitaire de Nice

Evaluation of the Contribution of Artificiel Inteligence on a Dermatologist Tele -Expertise Request Made by General Praticioner : a Retrospective and Single-center Study.

The First part of the study will be the inclusion of our patients (those for whom a tele-expertise request has been made by their general practitioner on the OMNIDOC platform between the 1st of May 2024 and the 31st of December 2025. ) After that, the team will investigate the non opposition patient to the use of their personal information.

Subsequently, the clinical study will focus on comparing the diagnosis made by chat gpt expert and a dermatologist from the University Hospital of Nice to a request of dermatology tele-expertise made by general praticioner on OMNIDOC

Study Overview

Status

Enrolling by invitation

Study Type

Observational

Enrollment (Estimated)

1000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Alpes Maritimes
      • Nice, Alpes Maritimes, France, 06000
        • Chu de Nice

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Adult patient for whom a tele-expertise request has ben made by their general practitioner on the OMNIDOC platform between the 1st of May 2024 and the 31st of December 2025.

Description

Inclusion Criteria:

  • Adult with a request on OMNIDOC made by their general practitioner.
  • Adult not opposed Social Security affiliation.
  • Diagnosis made by a dermatologist.

Exclusion Criteria:

  • Pediatric case.
  • Unusable image.
  • Absence of diagnosis made by a dermatologist.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Expert opinion
The expert had provided a diagnosis and a support based on the guideline in France
The expert had provided a diagnosis and a support based on the guideline in France
chatGPT opinion
ChatGPT will provide a diagnosis and the support based on the guideline in France
The expert had provided a diagnosis and a support based on the guideline in France
Specialized AI opinion
Specialised IA will provide a diagnosis and the support based on the guideline in France
The expert had provided a diagnosis and a support based on the guideline in France

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Compare the diagnoses offered by artificial intelligence to those proposed by the experts on requests for tele-expertise.
Time Frame: From 01 May 2025 - 31 December 2026
Check the correspondence between the diagnosis made by the expert and the artificial intelligence on the photos, the diagnosis and supports.
From 01 May 2025 - 31 December 2026

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Compare the support and response times offered by artificial intelligence to those offered by experts for dermatology tele-expertise requests.
Time Frame: From 01 May 2025 - 31 December 2026
Check the consistency between the expert's instructions and the timeframe for intervention, and the information provided by the two artifical intelligence by The photos, the diagnosis and supports
From 01 May 2025 - 31 December 2026
Compare the differences between the responses offered by chatGPT and the specific dermatologic artificial intelligence
Time Frame: From 01 May 2025 - 31 December 2026
Compare the differences between the responses offered by chatGPT and the specific dermatologic artificial intelligence by the photos, the diagnosis and supports
From 01 May 2025 - 31 December 2026

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

January 1, 2026

Primary Completion (Estimated)

June 30, 2026

Study Completion (Estimated)

June 30, 2026

Study Registration Dates

First Submitted

December 24, 2025

First Submitted That Met QC Criteria

January 9, 2026

First Posted (Actual)

January 14, 2026

Study Record Updates

Last Update Posted (Actual)

January 14, 2026

Last Update Submitted That Met QC Criteria

January 9, 2026

Last Verified

December 1, 2025

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 25MedInterne01

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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