Panoramic Landmarks: Comparing LLM-Assisted, Manual Tracing, and Self-Directed Learning in Dental Education
Identification of landmarks is essential for accurate diagnosis and treatment planning. This study demonstrates that MT significantly enhances landmark recognition, while ChatGPT provides supplementary value. Integrating traditional and AI-assisted methods may further strengthen dental radiology education.
Authors
- Seema Yadav (ORCID: https://orcid.org/0000-0002-9773-6641)
- Anand Marya (ORCID: https://orcid.org/0000-0003-2009-4393)
- Suresh Kandagal Veerabhadrappa (ORCID: https://orcid.org/0000-0003-3784-594X)
- Thantrira Porntaveetus (ORCID: https://orcid.org/0000-0003-0145-9801)
- Jayanth Kumar Vadivel
Institutions
- Chulalongkorn University (TH)
- University of Puthisastra (KH)
- Dr. D.Y. Patil Vidyapeeth, Pune (IN)
- Saveetha University (IN)
- SEGi University (MY)
Publication Details
- Journal
- International Dental Journal
- Published
- 2026-01-22
- DOI
- https://doi.org/10.1016/j.identj.2025.109393
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00