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Performances of machine learning algorithms in discriminating sacroiliitis features on MRI: a systematic review.

Sun Jae MoonGhee Young KwonJinseub HwangJaejoon LeeSeonyoung KangHoon-Suk Cha
Published in: RMD open (2023)
The performance of machine learning algorithms in discriminating sacroiliitis features on MRI varied owing to the high heterogeneity between studies and the small sample sizes, overfitting, and under-reporting issues of individual studies. Further well-designed and transparent studies are required.
Keyphrases
  • machine learning
  • artificial intelligence
  • case control
  • magnetic resonance imaging
  • deep learning
  • big data
  • contrast enhanced
  • computed tomography
  • single cell
  • electronic health record