Deep learning in the overall process of implant prosthodontics: A state-of-the-art review.

Journal: Clinical implant dentistry and related research
PMID: 38286659

Abstract

Artificial intelligence represented by deep learning has attracted attention in the field of dental implant restoration. It is widely used in surgical image analysis, implant plan design, prosthesis shape design, and prognosis judgment. This article mainly describes the research progress of deep learning in the whole process of dental implant prosthodontics. It analyzes the limitations of current research, and looks forward to the future development direction.

Authors

  • Shunv Ying
    Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Clinical Research Center for Oral Diseases of Zhejiang Province, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou 310006, China. Electronic address: dentistysn@zju.edu.cn.
  • Feng Huang
    Beijing Hospital of TCM, Capital Medical University, Beijing 100010, China; Institution of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing 100700.
  • Wei Liu
    Department of Radiation Oncology, Mayo Clinic, Scottsdale, AZ, United States.
  • Fuming He
    Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Clinical Research Center for Oral Diseases of Zhejiang Province, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou, China.

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