Int J Oral Biol.  2023 Dec;48(4):45-49. 10.11620/IJOB.2023.48.4.45.

The principles of artificial intelligence and its applications in dentistry

• Lee Y
• Ohk SH

• KMID: 2551404
• DOI: http://doi.org/10.11620/IJOB.2023.48.4.45

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