Diagnostic accuracy of artificial intelligence for detecting gastrointestinal luminal pathologies: a systematic review and meta-analysis

HIGHLIGHTS

• who: Jai K. Das from the University of Medicine and Pharmacy of Mu00fcnster, Germany have published the article: Diagnostic accuracy of artificial intelligence for detecting gastrointestinal luminal pathologies: A systematic review and meta-analysis, in the Journal: (JOURNAL) of January/27,/2021
• what: The study reported a sensitivity of 86.3% and specificity of 82.6% for diagnosing GI luminal neoplasms.
• how: External validation is important to establish the quality and generalizability of machine_learning models while internally validation alone has a potential to overestimate the accuracy of the model therefore to estimate the . . .
  

   

  

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