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van der Sommen F, de Groof J, Struyvenberg M, van der Putten J, Boers T, Fockens K, Schoon EJ, Curvers W, de With P, Mori Y, Byrne M, Bergman JJGHM. Machine learning in GI endoscopy: practical guidance in how to interpret a novel field. Gut 2020; 69:2035-2045. [PMID: 32393540 PMCID: PMC7569393 DOI: 10.1136/gutjnl-2019-320466] [Citation(s) in RCA: 75] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Revised: 04/13/2020] [Accepted: 04/22/2020] [Indexed: 02/07/2023]
Abstract
There has been a vast increase in GI literature focused on the use of machine learning in endoscopy. The relative novelty of this field poses a challenge for reviewers and readers of GI journals. To appreciate scientific quality and novelty of machine learning studies, understanding of the technical basis and commonly used techniques is required. Clinicians often lack this technical background, while machine learning experts may be unfamiliar with clinical relevance and implications for daily practice. Therefore, there is an increasing need for a multidisciplinary, international evaluation on how to perform high-quality machine learning research in endoscopy. This review aims to provide guidance for readers and reviewers of peer-reviewed GI journals to allow critical appraisal of the most relevant quality requirements of machine learning studies. The paper provides an overview of common trends and their potential pitfalls and proposes comprehensive quality requirements in six overarching themes: terminology, data, algorithm description, experimental setup, interpretation of results and machine learning in clinical practice.
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Affiliation(s)
- Fons van der Sommen
- Department of Electrical Engineering, VCA Group, University of Technology Eindhoven, Eindhoven, Noord-Brabant, The Netherlands
| | - Jeroen de Groof
- Department of Gastroenterology and Hepatology, Amsterdam UMC—Locatie AMC, Amsterdam, North Holland, The Netherlands
| | - Maarten Struyvenberg
- Department of Gastroenterology and Hepatology, Amsterdam UMC—Locatie AMC, Amsterdam, North Holland, The Netherlands
| | - Joost van der Putten
- Department of Electrical Engineering, VCA Group, University of Technology Eindhoven, Eindhoven, Noord-Brabant, The Netherlands
| | - Tim Boers
- Department of Electrical Engineering, VCA Group, University of Technology Eindhoven, Eindhoven, Noord-Brabant, The Netherlands
| | - Kiki Fockens
- Department of Gastroenterology and Hepatology, Amsterdam UMC—Locatie AMC, Amsterdam, North Holland, The Netherlands
| | - Erik J Schoon
- Department of Gastroenterology and Hepatology, Catharina Hospital, Eindhoven, The Netherlands
| | - Wouter Curvers
- Department of Gastroenterology and Hepatology, Catharina Hospital, Eindhoven, The Netherlands
| | - Peter de With
- Department of Electrical Engineering, VCA Group, University of Technology Eindhoven, Eindhoven, Noord-Brabant, The Netherlands
| | - Yuichi Mori
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Kanagawa, Japan
| | - Michael Byrne
- Division of Gastroenterology, Vancouver General Hospital, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Jacques J G H M Bergman
- Department of Gastroenterology and Hepatology, Amsterdam UMC-Locatie AMC, Amsterdam, North Holland, The Netherlands
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