Use of computer-assisted detection (CADe) colonoscopy in colorectal cancer screening and surveillance: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement

This statement conveys the European Society of Gastrointestinal Endoscopy (ESGE) position on the use of computer-aided detection (CADe) with artificial intelligence (AI) during colonoscopy for colorectal cancer (CRC) screening or surveillance. The ESGE position is informed by the BMJ Rapid Recommendation initiative and the approach of the MAGIC Evidence Ecosystem Foundation; these include systematic reviews of currently available evidence, supplemented by microsimulation modeling and patient values and preferences, for the benefits and harms of AI CADe devices during colonoscopy.ESGE convened a panel of European experts for this Position Statement. On December 18, 2024, panel members voted on their preferred recommendation between two choices about CADe during colonoscopy for indications of CRC screening or polyp surveillance. Out of 19 eligible votes, 13 (68.4%) voted to recommend CADe for colonoscopy, and six panel members (31.6%) voted against. Therefore, the current ESGE statement is: RECOMMENDATION: The panel believes that most well-informed patients who have already decided to undergo colonoscopy for screening or surveillance would favor CADe assistance during colonoscopy. This is due to the potential benefits, although limited, of reduction in colorectal cancer incidence and mortality.This recommendation is weak, because the evidence is limited with considerable uncertainty of the evidence estimates, the absolute benefits for colorectal cancer incidence and mortality are small, and there is a patient burden associated with CADe (more polyp overdiagnosis and more colonoscopy surveillance).

Authors

Institutions

Publication Details

Journal
Endoscopy
Published
2025-03-27
DOI
https://doi.org/10.1055/a-2543-0370
Citations
22
Primary Topic
Colorectal Cancer Screening and Detection
Type
article
Field-Weighted Citation Impact
23.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Use of computer-assisted detection (CADe) colonoscopy in colorectal cancer screening and surveillance: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement

Elena De Cristofaro, Κonstantinos Τriantafyllou, Ian M. Gralnek, Georgios Tziatzios et al.
22 citations
Endoscopy
Colorectal Cancer Screening and Detection
23.00
article

Use of computer-assisted detection (CADe) colonoscopy in colorectal cancer screening and surveillance: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement

Elena De Cristofaro, Κonstantinos Τriantafyllou, Ian M. Gralnek, Georgios Tziatzios, David Karsenti, Michael Häfner, Jean‐Philippe Loly, Hanneke Beaumont, Giulio Antonelli, Roberto Valente, Benjamin Walter, Ariel A. Benson, Katja Grubelić Ravić, Michael Bretthauer, Sabina Beg, Edward F. Gibbons, A. Laquière, Jabed F Ahmed, Vicente Lorenzo‐Zúñiga, María Pellisé, Susanne M. O’Reilly, Raf Bisschops, Malina Wiesand
article en
22 citations

Abstract

This statement conveys the European Society of Gastrointestinal Endoscopy (ESGE) position on the use of computer-aided detection (CADe) with artificial intelligence (AI) during colonoscopy for colorectal cancer (CRC) screening or surveillance. The ESGE position is informed by the BMJ Rapid Recommendation initiative and the approach of the MAGIC Evidence Ecosystem Foundation; these include systematic reviews of currently available evidence, supplemented by microsimulation modeling and patient values and preferences, for the benefits and harms of AI CADe devices during colonoscopy.ESGE convened a panel of European experts for this Position Statement. On December 18, 2024, panel members voted on their preferred recommendation between two choices about CADe during colonoscopy for indications of CRC screening or polyp surveillance. Out of 19 eligible votes, 13 (68.4%) voted to recommend CADe for colonoscopy, and six panel members (31.6%) voted against. Therefore, the current ESGE statement is: RECOMMENDATION: The panel believes that most well-informed patients who have already decided to undergo colonoscopy for screening or surveillance would favor CADe assistance during colonoscopy. This is due to the potential benefits, although limited, of reduction in colorectal cancer incidence and mortality.This recommendation is weak, because the evidence is limited with considerable uncertainty of the evidence estimates, the absolute benefits for colorectal cancer incidence and mortality are small, and there is a patient burden associated with CADe (more polyp overdiagnosis and more colonoscopy surveillance).

EndoscopyVol. 57(06)
Oslo University Hospital (NO), University Hospital Centre Zagreb (HR), Imperial College Healthcare NHS Trust (GB), University of Liège (BE), Technion – Israel Institute of Technology (IL), University of Oslo (NO), Hebrew University of Jerusalem (IL), National and Kapodistrian University of Athens (GR), Emek Medical Center (IL), Shaare Zedek Medical Center (IL), Letterkenny University Hospital (IE), Hospital Universitari i Politècnic La Fe (ES), Music and Arts University of the City of Vienna (AT), Città di Castello Hospital (IT), Hospital Clínic de Barcelona (ES), St. Vincent's University Hospital (IE), Hôpital Saint Joseph (FR), East and North Hertfordshire NHS Trust (GB), Centre Hospitalier Universitaire de Liège (BE), Policlinico Tor Vergata (IT), Amsterdam University Medical Centers (NL), Agia Olga Hospital (GR), University Hospital Ulm (DE), Umeå University (SE), KU Leuven (BE)
Good health and well-being
Openalex Percentile: Top 0%
Colorectal Cancer Screening and Detection
23.00
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.