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

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