山东大学学报 (医学版) ›› 2026, Vol. 64 ›› Issue (7): 118-124.doi: 10.6040/j.issn.1671-7554.0.2025.0998
• 综述 • 上一篇
惠婷1,张广灿2
HUI Ting1, ZHANG Guangcan2
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。
中图分类号:
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