The integration of artificial intelligence (AI) into clinical dentistry represents a paradigmatic shift toward precision-based oral healthcare. This article reviews the current applications of AI technologies in clinical dental practice, examining their impact on diagnostic accuracy, treatment planning, and patient outcomes. AI applications in dentistry span radiographic interpretation, caries detection, periodontal assessment, orthodontic treatment planning, oral pathology screening, and more. Machine learning algorithms and deep learning networks have demonstrated significant promise in enhancing diagnostic precision while reducing clinical time and improving workflow efficiency. Implementation challenges, however, including regulatory approval, cost considerations, and the need for comprehensive training, remain significant barriers. This review synthesizes current evidence regarding AI applications in dentistry, discusses clinical implications, and provides insights into future developments that may reshape oral healthcare delivery.
Markus B Blatz (Mon,) studied this question.