人工智能技术在牙周炎影像诊断中的研究进展

doi:10.13591/j.cnki.kqyx.2025.06.012

摘要/Abstract

摘要：

牙周炎的早期诊断和治疗对预后至关重要,2018年牙周病和植体周病国际新分类虽能提高诊断的准确率,减少漏诊和误诊,但实际应用较为复杂。目前,人工智能技术在口腔领域的应用越来越广泛,其能识别检测牙齿类别和牙周骨质丧失。使用人工智能检测牙周病变,计算牙周炎分期-分级,指导临床个性化、精细化治疗成为当前的研究热点。本文系统总结人工智能在牙周炎影像诊断中的研究现状,并对其进行分析和讨论。

关键词: 人工智能, 深度学习, 牙周炎, 影像学骨丧失

Abstract:

Early diagnosis and therapy of the periodontitis are crucial for the prognosis. Although the latest international classification of periodontal diseases and peri-implant diseases in 2018 can improve the accuracy of diagnosis and reduce the misdiagnosis and missed diagnoses, it is extremely complex in practice. At present, the application of artificial intelligence in the field of dentistry is becoming more and more extensive, which has good performance in detecting tooth types and periodontal bone loss. The use of artificial intelligence to detect periodontal lesions and calculate periodontitis staging and grading, and guide clinical personalized and precise treatment has become a hot topic of current research. This paper summarizes and analyzes the current research status of artificial intelligence in periodontal radiographic diagnosis, and provides ideas for further research.

Key words: artificial intelligence, deep learning, periodontitis, radiographic bone loss

中图分类号:

R781.4

贺梦柯, 鲁嘉韦, 段晖, 罗礼君. 人工智能技术在牙周炎影像诊断中的研究进展[J]. 口腔医学, 2025, 45(6): 460-464.

HE Mengke, LU Jiawei, DUAN Hui, LUO Lijun. Progress of research on artificial intelligence technology in radiographic diagnosis of periodontitis[J]. Stomatology, 2025, 45(6): 460-464.

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