Artificial intelligence for colonoscopic polyp detection: High performance versus human nature.

Journal: Journal of gastroenterology and hepatology

Published Date: Oct 1, 2020

Abstract

No abstract available for this article.

Authors

James E East

Translational Gastroenterology Unit, Nuffield Department of Medicine, Experimental Medicine Div., John Radcliffe Hospital, University of Oxford, Oxford, UK.
Jens Rittscher

Department of Engineering Science, University of Oxford, Oxford, United Kingdom.

Keywords

Adenoma Artificial Intelligence Colonoscopy Colorectal Neoplasms Diagnosis, Computer-Assisted Human Characteristics Humans Intestinal Polyps Quality Assurance, Health Care

External Resources

View on PubMed Access via DOI PubMed (33043510)

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