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
Article Authors Cited by Tweetations Metrics

Sarah AlFarabi Ali   1 * , PhD ;   Hebah AlDehlawi   1 * , PhD ;   Ahoud Jazzar   1 * , PhD ;   Heba Ashi   2 * , PhD ;   Nihal Esam Abuzinadah   3 * , PhD ;   Mohammad AlOtaibi   4 , BDS ;   Abdulrahman Algarni   4 * , BDS ;   Hazzaa Alqahtani   4 * , BDS ;   Sara Akeel   1 * , PhD ;   Soulafa Almazrooa   1 , DMSc

1 Department of Oral Diagnostic Sciences, Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia

2 Department of Public Health, Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia

3 Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia

4 Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia

*these authors contributed equally

Corresponding Author:

  • Sarah AlFarabi Ali, PhD
  • Department of Oral Diagnostic Sciences, Faculty of Dentistry
  • King Abdulaziz University
  • AlSulaimaniya
  • Jeddah 22254
  • Saudi Arabia
  • Phone: 966 555821526
  • Email: samali@kau.edu.sa