Publications by authors named "Mitul Manek"

Article Synopsis
  • The study reviews how effective artificial intelligence algorithms are in assessing the temporomandibular joint (TMJ) disc and diagnosing internal derangements using MRI images.
  • A total of 13 studies were analyzed, with most focusing on disc position and high variability in patient selection; CNN-based AI models showed accuracy between 70% and 99% when compared to human assessments.
  • The findings suggest that AI, especially deep learning, could be a valuable tool in TMJ diagnostics, but more diverse and multicenter studies are necessary for broader application in clinical settings.
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