Artificial Intelligence for Diagnostic Decision-Making in Oral and Maxillofacial Surgery.

Authors

Shintaro Sukegawa, Takeshi Hara, Keisuke Nakano, Minoru Miyake

Published in

Oral and maxillofacial surgery clinics of North America. Oct 08, 2026. Epub Oct 08, 2026.

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.

PMID:
42850106
Bibliographic data and abstract were imported from PubMed on 09 Oct 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.