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Applications of AI (363) Clinical Information and Decision Making (2112) Natural Language Processing (975) Artificial Intelligence (2406) Computer-Aided Diagnosis (281) Generative Language Models Including ChatGPT (854) Foundation Models and Their Applications in AI (61)

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 (8) Tweetations Metrics

Journals

  1. Suárez A, Freire Y, Díaz-Flores García V, Santamaría Laorden A, Orejas Pérez J, Suárez Ajuria M, Algar J, Martín Carreras-Presas C. ChatGPT in Oral Pathology: Bright Promise or Diagnostic Mirage. Medicina 2025;61(10):1744 View
  2. Abou-Bakr A, El Barbary A, Hassanein F. ChatGPT-5 vs oral medicine experts for rank-based differential diagnosis of oral lesions: a prospective, biopsy-validated comparison. Odontology 2025 View
  3. Hassanein F, Hussein R, Almalahy H, Sarhan S, Ahmed Y, Abou-Bakr A. Vision-based diagnostic gain of ChatGPT-5 and gemini 2.5 pro compared with human experts in oral lesion assessment. Scientific Reports 2025;15(1) View
  4. Robaian A, Hassanein F, Hassan M, Alqahtani A, Abou-Bakr A. A Multimodal Large Language Model Framework for Clinical Subtyping and Malignant Transformation Risk Prediction in Oral Lichen Planus: A Paired Comparison With Expert Clinicians. International Dental Journal 2026;76(1):109357 View
  5. Hassanein F, Alkabazi M, Tassoker M, Ahmed Y, Alsaeed S, Abou-Bakr A. Multimodal large language models for oral lesion diagnosis: a systematic review of diagnostic performance and clinical utility. Frontiers in Oral Health 2026;7 View
  6. Monteiro L, Lima J, Silva L, Jauhal C, Shamekh A, Brailo V, Vidović Juras D, Alqarni A, Al-Johani K, Ferreira S, Salazar F, Harte M, Albuquerque R. Accuracy of AI Tools in the Diagnosis of Benign, Potentially Malignant and Malignant Oral Lesions: A Pilot Study. Journal of Clinical Medicine 2026;15(7):2638 View
  7. Joseph A, Almutairi R, Alrashidi W, Almutairi R, Theeban Y, Aldhuwayhi S, Altuwalah A, Mustafa M, Thakare A, Jayakumar S, Joseph A, Mallineni S. Factors influencing large language model adoption among dental students: a cross-sectional study. Scientific Reports 2026 View
  8. Hassanein F, Ibrahim S, Tomo S, Alsahhaf A, Abou-Bakr A. Prompt engineering shapes diagnostic accuracy and explanation quality of LLM in oral lesion diagnosis: a prospective, expert-blinded benchmark study. Odontology 2026 View