This paper is in the following e-collection/theme issue:

Applications of AI (230) Generative Language Models Including ChatGPT (613) Foundation Models and Their Applications in AI (46) Artificial Intelligence (1960) Computer-Aided Diagnosis (214) Clinical Information and Decision Making (1785) Natural Language Processing (855)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70566, first published .
The Diagnostic Performance of Large Language Models and Oral Medicine Consultants for Identifying Oral Lesions in Text-Based Clinical Scenarios: Prospective Comparative Study

The Diagnostic Performance of Large Language Models and Oral Medicine Consultants for Identifying Oral Lesions in Text-Based Clinical Scenarios: Prospective Comparative Study

The Diagnostic Performance of Large Language Models and Oral Medicine Consultants for Identifying Oral Lesions in Text-Based Clinical Scenarios: Prospective Comparative Study

Authors of this article:

Sarah AlFarabi Ali1 Author Orcid Image ;   Hebah AlDehlawi1 Author Orcid Image ;   Ahoud Jazzar1 Author Orcid Image ;   Heba Ashi2 Author Orcid Image ;   Nihal Esam Abuzinadah3 Author Orcid Image ;   Mohammad AlOtaibi4 Author Orcid Image ;   Abdulrahman Algarni4 Author Orcid Image ;   Hazzaa Alqahtani4 Author Orcid Image ;   Sara Akeel1 Author Orcid Image ;   Soulafa Almazrooa1 Author Orcid Image
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