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Deep learning for temporomandibular joint arthropathies: A systematic review and meta-analysis.

Rata RokhshadHossein Mohammad-RahimiFatemeh SohrabniyaBahare JafariParnian ShobeiriIoannis A TsolakisSeyed AmirHossein OurangAhmed S SultanShehryar Nasir KhawajaRoxanne BavarianJuan Martin Palomo
Published in: Journal of oral rehabilitation (2024)
Deep learning models can detect TMJ arthropathies high sensitivity and specificity. Clinicians, and especially those not specialized in orofacial pain, may benefit from this methodology for assessing TMD as it facilitates a rigorous and evidence-based framework, objective measurements, and advanced analysis techniques, ultimately enhancing diagnostic accuracy.
Keyphrases
  • deep learning
  • palliative care
  • artificial intelligence
  • convolutional neural network
  • chronic pain
  • machine learning
  • neuropathic pain
  • spinal cord
  • postoperative pain