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PDFRecent advances in clinical practice
Machine learning in GI endoscopy: practical guidance in how to interpret a novel field
- Correspondence to Dr Jacques J G H M Bergman, Department of Gastroenterology and Hepatology, Amsterdam UMC - Locatie AMC, Amsterdam 1105 AZ, The Netherlands; j.j.bergman{at}amsterdamumc.nl
Citation
Machine learning in GI endoscopy: practical guidance in how to interpret a novel field
Publication history
- Received December 12, 2019
- Revised April 13, 2020
- Accepted April 22, 2020
- First published May 11, 2020.
Online issue publication
October 07, 2020
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© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.