数字化和人工智能在儿童口腔领域的应用进展

惠婷 ,  张广灿

山东大学学报(医学版) ›› 2026, Vol. 46 ›› Issue (7) : 118 -124.

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山东大学学报(医学版) ›› 2026, Vol. 46 ›› Issue (7) : 118 -124. DOI: 10.6040/j.issn.1671-7554.0.2025.0998
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数字化和人工智能在儿童口腔领域的应用进展

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Progress in applying digitalization and artificial intelligence to pediatric dentistry

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摘要

数字化和人工智能是计算机学科领域的重要分支,它们在口腔医学领域的应用越来越广泛。儿童口腔医学涉及多学科,不同年龄段儿童口腔情况多变,且儿童对于口腔疾病治疗的配合程度相对较低,这为临床工作增加了难度。数字化和人工智能技术正逐步渗透于儿童口腔医学领域,在儿童口腔影像方面,深度学习模型可用于牙龄评估、牙齿数目异常、位置异常的检测。在儿童口腔疾病方面,人工智能可辅助龋病的筛查与检测、青少年牙颌面畸形的诊断以及矫治方案的设计,并可强化儿童口腔行为管理、评估儿童口腔健康状况。其在确保治疗效果的同时,为儿童提供了舒适化、个性化且极具人文关怀的治疗方案,对提高诊疗效率具有重要的临床意义。

Abstract

Digitalization and artificial intelligence are two important branches of computer science. In recent years, their applications in the field of dentistry have become increasingly widespread due to the rapid development of information technology. Pediatric dentistry involves multiple disciplines and there are varying oral conditions among children of different ages. Furthermore, children's cooperation in oral disease treatment is relatively low, which makes clinical work more difficult. Digitalization and artificial intelligence technologies are gradually becoming established in the field of pediatric dentistry. In pediatric dental imaging, deep learning models can be used to assess dental age and detect abnormalities in the number and position of teeth. With regard to pediatric dental diseases, artificial intelligence can help with the screening and detection of tooth decay, the diagnosis of maxillofacial deformities in adolescents, and the design of orthodontic treatment plans. AI can also enhance pediatric dental behavior management and assess children's oral health status. While ensuring the effectiveness of treatment, it provides children with comfortable, personalized, and highly humane treatment plans, which is of great clinical importance in improving the efficiency of diagnosis and treatment.

关键词

数字化 / 人工智能 / 儿童口腔

Key words

Digitalization / Artificial Intelligence / Pediatric Dentistry

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引用格式 ▾
惠婷,张广灿. 数字化和人工智能在儿童口腔领域的应用进展[J]. 山东大学学报(医学版), 2026, 46(7): 118-124 DOI:10.6040/j.issn.1671-7554.0.2025.0998

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