TY - JOUR
T1 - Curriculum for safe and effective use of artificial intelligence in endoscopy
T2 - European Society of Gastrointestinal Endoscopy (ESGE) Position Statement
AU - ESGE AI Curriculum advisory and voting group
AU - Mori, Yuichi
AU - Kopylov, Uri
AU - Sinonquel, Pieter
AU - Ebigbo, Alanna
AU - Dekker, Evelien
AU - De Groof, Albert Jeroen
AU - Ahmad, Omer F.
AU - Kader, Rawen
AU - Saftoiu, Adrian
AU - Schoon, Erik
AU - Mascagni, Pietro
AU - Bhandari, Pradeep
AU - Hann, Alexander
AU - Antonelli, Giulio
AU - Iacucci, Marietta
AU - Pech, Oliver
AU - Dray, Xavier
AU - Spadaccini, Marco
AU - Campion, John R.
AU - Hassan, Cesare
AU - Messmann, Helmut
AU - Bisschops, Raf
AU - Fuccio, Lorenzo
AU - Facciorusso, Antonio
AU - Tham, Tony
AU - van der Sommen, Fons
AU - Bernal, Jorge
AU - Eelbode, Tom
AU - Murino, Alberto
AU - Papaefthymiou, Apostolis
AU - Benson, Ariel
AU - Monged, Ashraf
AU - Bozzi, Rosamaria
AU - Yzet, Clara
AU - Karsenti, David
AU - Gibbons, Eimear
AU - Gadour, Eyad
AU - Baldaque-Silva, Francisco
AU - Tziatzios, Georgios
AU - Tontini, Gian Eugenio
AU - Esposito, Gianluca
AU - Rughwani, Hardik
AU - Jovanovic, Ivan
AU - Sanmartin, Ivan David Arciniegas
AU - Kral, Jan
AU - Santos-Antunes, João
AU - Khalaf, Kareem
AU - Namikawa, Ken
AU - Kurek, Krzysztof
AU - Khoury, Tawfik
N1 - Publisher Copyright:
© 2025. European Society of Gastrointestinal Endoscopy. All rights reserved.
PY - 2026/2/1
Y1 - 2026/2/1
N2 - The European Society of Gastrointestinal Endoscopy (ESGE) has identified a critical need to establish structured training for safe and effective use of artificial intelligence (AI) in endoscopy. This manuscript presents the results of a formal Delphi consensus process and outlines the official ESGE position, offering a comprehensive curriculum for acquiring and maintaining the competence needed to exploit the benefit of using AI tools in endoscopy. The proposed framework defines the prerequisites in the preadoption phase, core training components, and requirements to maintain optimal implementation. Key recommendations include: (1) ensuring basic competency in standard endoscopy procedures; (2) acquiring foundational knowledge of AI principles; (3) implementing educational programs to enhance AI literacy; (4) recognizing and mitigating cognitive biases in human-AI interaction; (5) avoiding over-reliance on AI in clinical decision-making; and (6) continuous monitoring of key performance indicators throughout AI system integration.
AB - The European Society of Gastrointestinal Endoscopy (ESGE) has identified a critical need to establish structured training for safe and effective use of artificial intelligence (AI) in endoscopy. This manuscript presents the results of a formal Delphi consensus process and outlines the official ESGE position, offering a comprehensive curriculum for acquiring and maintaining the competence needed to exploit the benefit of using AI tools in endoscopy. The proposed framework defines the prerequisites in the preadoption phase, core training components, and requirements to maintain optimal implementation. Key recommendations include: (1) ensuring basic competency in standard endoscopy procedures; (2) acquiring foundational knowledge of AI principles; (3) implementing educational programs to enhance AI literacy; (4) recognizing and mitigating cognitive biases in human-AI interaction; (5) avoiding over-reliance on AI in clinical decision-making; and (6) continuous monitoring of key performance indicators throughout AI system integration.
UR - https://www.scopus.com/pages/publications/105023879534
U2 - 10.1055/a-2742-4342
DO - 10.1055/a-2742-4342
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C2 - 41338282
AN - SCOPUS:105023879534
SN - 0013-726X
VL - 58
SP - 202
EP - 210
JO - Endoscopy
JF - Endoscopy
IS - 2
ER -