Research Progress on Application of Deep Learning in Prediction and Diagnosis of Peri-implantitis

doi:10.13701/j.cnki.kqyxyj.2026.03.002

Abstract

Abstract: Considering the complex clinical risk factors and the insidious initial manifestations of peri-implantitis, continuous monitoring of peri-implant soft and hard tissues is necessary for more effective disease management. Deep learning, as a rapidly evolving emerging artificial intelligence technology, has been deemed promising in oral implantology for detecting lesion sites, conducting quantitative evaluation, analyzing autonomous learning datasets, and deducing disease progression pathways. This article summarizes the application of deep learning in the assessment of peri-implant tissues as well as the prediction and diagnosis of peri-implantitis.

Key words: artificial intelligence, deep learning, oral implantology, peri-implantitis

WANG Xiaowen, GAO Ying. Research Progress on Application of Deep Learning in Prediction and Diagnosis of Peri-implantitis[J]. Journal of Oral Science Research, 2026, 42(3): 186-190.

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