Overview

This book provides a focused overview of artificial intelligence (AI) in conservative dentistry and endodontics, emphasizing its growing role in diagnosis, treatment planning, and prognostic assessment. It discusses the evolution of AI, machine learning, and deep learning models, including artificial and convolutional neural networks, and their applications in dental imaging. Clinical uses such as caries detection, identification of tooth preparation margins, vertical root fracture detection, and prediction of restorative outcomes are highlighted. In endodontics, AI-assisted analysis of root canal morphology, working length determination, periapical lesion detection, and outcome prediction are reviewed. The book positions AI as an adjunct to clinical expertise, supporting precision and patient-centered care.

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