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Standalone performance of artificial intelligence for upper GI neoplasia: a meta-analysis.

Julia ArribasGiulio AntonelliLeonardo FrazzoniLorenzo FuccioAlanna EbigboFons van der SommenNoha GhatwaryChristoph PalmMiguel CoimbraFrancesco RennaJacques J G H M BergmanPrateek SharmaHelmut MessmannCesare HassanMario J Dinis-Ribeiro
Published in: Gut (2020)
We found a high overall AI accuracy for the diagnosis of any neoplastic lesion of the UGI tract that was independent of the underlying condition. This may be expected to substantially reduce the miss rate of precancerous lesions and early cancer when implemented in clinical practice.
Keyphrases
  • artificial intelligence
  • clinical practice
  • machine learning
  • big data
  • deep learning
  • papillary thyroid
  • high grade
  • squamous cell
  • young adults