人工智能在儿童口腔医学中的应用和展望

Abstract

Abstract:

To explore the current applications, existing challenges, and future prospects of artificial intelligence (AI) in pediatric dentistry. Deep learning models have demonstrated a diagnostic performance in certain dental imaging-related diseases that is statistically comparable to expert assessments. Intelligent oral hygiene devices are now capable of generating personalized cleaning strategies. Deep learning techniques have also shown strong potential in caries risk prediction and dental age estimation. Moreover, AI exhibits unique applications in managing pediatric dental anxiety, pain control, and orthodontics. Nevertheless, several challenges remain, including issues related to data quality, volume, and management, as well as concerns involving medical ethics and legal regulations. Future efforts should emphasize enhancing data quality, optimizing algorithms, establishing robust ethical and regulatory frameworks, and strengthening research on AI-assisted treatment and clinical training.

Key words: artificial intelligence, pediatric dentistry, deep learning

CLC Number:

R788

ZHA Changwei, ZHANG Xiwen, LUO Xiyuan, LIU Ruijun, WANG Chen, CHEN Xiaotong, YU Peng. The application and prospect of artificial intelligence in pediatric dentistry[J]. Stomatology, 2026, 46(6): 466-470.

References 42

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The application and prospect of artificial intelligence in pediatric dentistry

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