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.
Mori, Y., Kopylov, U., Sinonquel, P., Ebigbo, A., Dekker, E., De Groof, A.J., et al. (2025). Curriculum for safe and effective use of artificial intelligence in endoscopy: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement. ENDOSCOPY, 3, 1-10 [10.1055/a-2742-4342].
Curriculum for safe and effective use of artificial intelligence in endoscopy: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement
Fuccio L.;
2025
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
