Application progress of machine learning in oral medical diagnosis

doi:10.19438/j.cjoms.2024.06.014

Abstract

Abstract: With the rapid advancement of artificial intelligence technology, machine learning has become a vital tool in the field of oral healthcare. Machine learning technology for the diagnosis and classification of oral diseases not only provides efficient patient risk assessment and management tools, but also supports personalized treatment planning and medical protocol development. In addition, machine learning also plays an important role in medical image analysis and interpretation, helping physicians quickly and accurately identify oral lesions and their types. This article introduced typical applications of machine learning in oral medical diagnosis, and discussed the technical challenges and possible solutions.

Key words: Machine learning, Oral medicine, Disease diagnosis, Risk assessment, Personalized medicine, Medical image analysis

CLC Number:

R739.8

LIU Qing-hai, LIU Ting-ting, ZHU Ling, MA Kun-ning. Application progress of machine learning in oral medical diagnosis[J]. China Journal of Oral and Maxillofacial Surgery, 2024, 22(6): 605-610.

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