Diagnosis of temporomandibular disorders using artificial intelligence technologies: A systematic review and meta-analysis.

Journal: PloS one
PMID: 35980894

Abstract

BACKGROUND: Artificial intelligence (AI) algorithms have been applied to diagnose temporomandibular disorders (TMDs). However, studies have used different patient selection criteria, disease subtypes, input data, and outcome measures. Resultantly, the performance of the AI models varies.

Authors

  • Nayansi Jha
    Department of Orthodontics, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Korea.
  • Kwang-Sig Lee
    AI Center, Korea University College of Medicine, Seoul, South Korea.
  • Yoon-Ji Kim
    Department of Biomedical Engineering, College of Health Science, Yonsei University, Wonju, Kangwon-do, 26493, South Korea.

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