Current status and limitations of artificial intelligence in colonoscopy.

Journal: United European gastroenterology journal

Published Date: Jun 1, 2021

Abstract

BACKGROUND: Artificial intelligence (AI) using deep learning methods for polyp detection (CADe) and characterization (CADx) is on the verge of clinical application. CADe already implied its potential use in randomized controlled trials. Further efforts are needed to take CADx to the next level of development.

Authors

Alexander Hann

Department of Internal Medicine II, Interventional and Experimental Endoscopy (InExEn), University Hospital Wuerzburg, Würzburg, Germany.
Joel Troya

Department of Internal Medicine II, Interventional and Experimental Endoscopy (InExEn), University Hospital Wuerzburg, Würzburg, Germany.
Daniel Fitting

Department of Internal Medicine II, Interventional and Experimental Endoscopy (InExEn), University Hospital Wuerzburg, Würzburg, Germany.

Keywords

Adenoma Artificial Intelligence Clinical Trials as Topic Colonic Neoplasms Colonic Polyps Colonoscopy Deep Learning Diagnosis, Computer-Assisted Humans Precancerous Conditions Quality Improvement Randomized Controlled Trials as Topic

External Resources

View on PubMed Access via DOI PubMed (34617420)

Current status and limitations of artificial intelligence in colonoscopy.

Abstract

Authors

Keywords

External Resources

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