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 Type
OBSERVATIONAL
Enrollment
1,000
The expert had provided a diagnosis and a support based on the guideline in France
CHU de NICE
Nice, Alpes Maritimes, France
Compare the diagnoses offered by artificial intelligence to those proposed by the experts on requests for tele-expertise.
Check the correspondence between the diagnosis made by the expert and the artificial intelligence on the photos, the diagnosis and supports.
Time frame: From 01 May 2025 - 31 December 2026
Compare the support and response times offered by artificial intelligence to those offered by experts for dermatology tele-expertise requests.
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
Time frame: From 01 May 2025 - 31 December 2026
Compare the differences between the responses offered by chatGPT and the specific dermatologic artificial intelligence
Compare the differences between the responses offered by chatGPT and the specific dermatologic artificial intelligence by the photos, the diagnosis and supports
Time frame: From 01 May 2025 - 31 December 2026
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