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

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

BackgroundArtificial Intelligence (AI) holds considerable promise for diagnostics in the field of gastroenterology. This systematic review and meta-analysis aims to assess the diagnostic accuracy of AI models compared with the gold standard of experts and histopathology for the diagnosis of various...

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Bibliographic Details
Main Authors: Om Parkash, Asra Tus Saleha Siddiqui, Uswa Jiwani, Fahad Rind, Zahra Ali Padhani, Arjumand Rizvi, Zahra Hoodbhoy, Jai K. Das
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Medicine
Subjects:
artificial intelligence
systematic review
gastroenterology
diagnostic accuracy
pathologies
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.1018937/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2022.1018937/full

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