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.
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: The diagnosis made by Chat Gpt.
- Who it may be relevant to
- Registry conditions: Skin Diseases, Artificial Intelligence. Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- France
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
Evaluation of the Contribution of Artificiel Inteligence on a Dermatologist Tele -Expertise Request Made by General Praticioner : a Retrospective and Single-center Study.
Overview
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
Interventions
- Other The diagnosis made by Chat Gpt
The expert had provided a diagnosis and a support based on the guideline in France
Primary outcome measures
- 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]
Secondary outcome measures (2)
- 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]
- Compare the differences between the responses offered by chatGPT and the specific dermatologic artificial intelligence [Time frame: From 01 May 2025 - 31 December 2026]
Eligibility criteria
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.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Cohort
Study locations
France · 1 center
- CHU de NICE — Nice
Identifiers
NCT: NCT07341906 · 25MedInterne01