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