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

Nayansi JhaKwang-Sig LeeYoon-Ji Kim
Published in: PloS one (2022)
Various AI algorithms developed for diagnosing TMDs may provide additional clinical expertise to increase diagnostic accuracy. However, it should be noted that a high risk of bias was present in the included studies. Also, certainty of evidence was very low. Future research of higher quality is strongly recommended.
Keyphrases
  • artificial intelligence
  • machine learning
  • deep learning
  • big data
  • current status
  • quality improvement
  • case control