The principles of artificial intelligence and its applications in dentistry
10.11620/IJOB.2023.48.4.45
- Author:
Yoohyun LEE
1
;
Seung-Ho OHK
Author Information
1. Department of Oral Microbiology, School of Dentistry, Chonnam National University, Gwangju 61186, Republic of Korea
- Publication Type:Mini Review
- From:International Journal of Oral Biology
2023;48(4):45-49
- CountryRepublic of Korea
- Language:English
-
Abstract:
Digital dentistry has witnessed significant advancements in recent years, driven by extensive research following the introduction of cutting-edge technologies such as CAD/CAM and 3D oral scanners. Until now, 2D images obtained via x-ray or CT scans were critical to detect anomalies and for decision-making. This review describes the main principles and applications of supervised, unsupervised, and reinforcement learning in medical applications. In this context, we present a diverse range of artificial intelligence networks with potential applications in dentistry, accompanied by existing results in the field.
