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Open AccessReview

Application of Artificial Intelligence in the Detection and Differentiation of Colon Polyps: A Technical Review for Physicians

1
Department of Computer Science, Cornell University, New York, NY 14853, USA
2
Department of Computer Science and Engineering, Ohio State University, Columbus, OH 43210, USA
3
Division of Gastroenterology, Hepatology and Nutrition, the Ohio State University Wexner Medical Center, Columbus, OH 43210, USA
*
Author to whom correspondence should be addressed.
Diagnostics 2019, 9(3), 99; https://doi.org/10.3390/diagnostics9030099
Received: 16 July 2019 / Revised: 13 August 2019 / Accepted: 19 August 2019 / Published: 20 August 2019
(This article belongs to the Special Issue Artificial Intelligence in Diagnostics)
Research in computer-aided diagnosis (CAD) and the application of artificial intelligence (AI) in the endoscopic evaluation of the gastrointestinal tract is novel. Since colonoscopy and detection of polyps can decrease the risk of colon cancer, it is recommended by multiple national and international societies. However, the procedure of colonoscopy is performed by humans where there are significant interoperator and interpatient variations, and hence, the risk of missing detection of adenomatous polyps. Early studies involving CAD and AI for the detection and differentiation of polyps show great promise. In this appraisal, we review existing scientific aspects of AI in CAD of colon polyps and discuss the pitfalls and future directions for advancing the science. This review addresses the technical intricacies in a manner that physicians can comprehend to promote a better understanding of this novel application. View Full-Text
Keywords: colonoscopy; colon polyp; artificial intelligence; computer-aided diagnosis; machine learning colonoscopy; colon polyp; artificial intelligence; computer-aided diagnosis; machine learning
MDPI and ACS Style

Chao, W.-L.; Manickavasagan, H.; Krishna, S.G. Application of Artificial Intelligence in the Detection and Differentiation of Colon Polyps: A Technical Review for Physicians. Diagnostics 2019, 9, 99.

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