Related Experiment Video
Updated: Oct 10, 2026
Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images
Published on: February 23, 2024
Artificial Intelligence for Diagnostic Decision-Making in Oral and Maxillofacial Surgery
Shintaro Sukegawa1, Takeshi Hara2, Keisuke Nakano3
1Department of Oral and Maxillofacial Surgery, Kagawa University Faculty of Medicine, Ikenobe, Miki-cho, Kita-gun, Kagawa, Japan; Department of Oral Pathology and Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-cho, Kita-ku, Okayama 700-8558, Japan.
Abstract:
Artificial intelligence (AI) is increasingly being applied in oral and maxillofacial surgery; however, its primary clinical value lies in supporting decision-making rather than replacing clinicians. Surgeons must integrate diverse sources of information, including imaging, pathology, and systemic conditions, which can increase cognitive workload and contribute to diagnostic variability. This review summarizes the current role of AI-based clinical decision support by organizing its applications into 3 cognitive stages: detection, diagnostic interpretation, and risk prediction. AI systems can assist in identifying abnormalities, suggesting differential diagnoses, and estimating the probability of postoperative complications or disease progression.
