Advancements in cholelithiasis diagnosis: a systematic review of machine learning applications in imaging analysis

HIGHLIGHTS

• What: The aim of this review was to evaluate the diagnostic accuracy of machine_learning technologies applied in the diagnosis of cholelithiasis. This systematic review was conducted in compliance with the guidelines of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) . Regarding the index test domain, most of the studies showed low risks of bias with the exception of one study that showed unclear risk of bias . The model is initialized with pretrained weights obtained from the ImageNet dataset .
• Who: Almegdad S. Ahmed et al. from the Faculty of Medicine, University of Khartoum, Khartoum . . .
  

   

  

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