KMID : 0848120230480040045
|
|
International Journal of Oral Biology 2023 Volume.48 No. 4 p.45 ~ p.49
|
|
The principles of artificial intelligence and its applications in dentistry
|
|
Lee Yoo-Hyun
Ohk Seung-Ho
|
|
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.
|
|
KEYWORD
|
|
Artificial intelligence, Supervised learning, Unsupervised learning, Reinforcement learning
|
|
FullTexts / Linksout information
|
|
|
|
Listed journal information
|
|
|