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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.

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

Status
Enrolling by invitation
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07341906
Enrollment
1000
Registered
2026-01-14
Start date
2026-01-01
Completion date
2026-06-30
Last updated
2026-01-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Artificial Intelligence, Skin Diseases

Brief summary

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

OTHERThe diagnosis made by Chat Gpt

The expert had provided a diagnosis and a support based on the guideline in France

Sponsors

Centre Hospitalier Universitaire de Nice
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

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.

Design outcomes

Primary

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

Secondary

MeasureTime frameDescription
Compare the support and response times offered by artificial intelligence to those offered by experts for dermatology tele-expertise requests.From 01 May 2025 - 31 December 2026Check 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
Compare the differences between the responses offered by chatGPT and the specific dermatologic artificial intelligenceFrom 01 May 2025 - 31 December 2026Compare the differences between the responses offered by chatGPT and the specific dermatologic artificial intelligence by the photos, the diagnosis and supports

Countries

France

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026