The Diagnostic Performance of Large Language Models and Oral Medicine Consultants for Identifying Oral Lesions in Text-Based Clinical Scenarios: Prospective Comparative Study
ChatGPT and Copilot show promising performance for diagnosing oral medicine pathology in clinical case scenarios to assist dental practitioners. ChatGPT-4 and Copilot are still evolving, but even now, they might provide a significant advantage in the clinical setting as tools to help dental practitioners in their daily practice.
Authors
- Ahoud Jazzar (ORCID: https://orcid.org/0000-0002-0226-3512)
- Sarah A. Ali (ORCID: https://orcid.org/0000-0003-0117-6596)
- Heba Ashi (ORCID: https://orcid.org/0000-0001-6691-9317)
- Soulafa Almazrooa (ORCID: https://orcid.org/0000-0001-6350-3578)
- Sara Akeel (ORCID: https://orcid.org/0000-0001-8006-1185)
- Hebah AlDehlawi (ORCID: https://orcid.org/0009-0007-8910-0348)
- Nihal Abuzinadah (ORCID: https://orcid.org/0000-0001-9578-8475)
- H. S. Alqahtani
- Mohammad Abdullatif Huwaiml Alotaibi
- Abdulrahman Algarni
Institutions
- King Abdulaziz University (SA)
Publication Details
- Journal
- JMIR AI
- Published
- 2025-04-24
- DOI
- https://doi.org/10.2196/70566
- Citations
- 5
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 6.80