Introduction Artificial intelligence is rapidly entering routine GI endoscopy—particularly for polyp detection, lesion characterization, and quality assurance. While early studies show improved detection and efficiency, AI also introduces new risks: inappropriate trust, cognitive bias, deskilling, and uncertainty about how and when AI should be used in clinical decision-making.
Introduction
Artificial intelligence is rapidly entering routine GI endoscopy—particularly for polyp detection, lesion characterization, and quality assurance. While early studies show improved detection and efficiency, AI also introduces new risks: inappropriate trust, cognitive bias, deskilling, and uncertainty about how and when AI should be used in clinical decision-making.
Recognizing this gap, European Society of Gastrointestinal Endoscopy (ESGE) has issued a formal Position Statement defining a structured curriculum for the safe, effective, and responsible use of AI in endoscopy.
This document is not about which AI to buy—it is about how clinicians should be trained to use AI properly.
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The core problem
AI tools are being deployed faster than training standards can keep up.
Key unanswered questions in daily practice include:
Until now, no formal competency framework existed.
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What ESGE proposes: a 3-phase curriculum
1️⃣ Before adoption (Preadoption phase)
Endoscopists must first be competent in standard endoscopic skills (scope handling, lesion visualization, interpretation).
Clinicians should understand:
👉 Message: AI supports good endoscopists—it does not replace fundamentals.
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2️⃣ Training phase
👉 Message: Human–AI interaction is the new technical skill.
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3️⃣ Independent use & quality assurance
👉 Message: AI use must be auditable, reversible, and accountable.
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What this means for clinicians
This position statement reframes AI from a device issue to a professional competency issue.
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Bottom-line takeaway for GastroAGI
ESGE makes it clear: the success of AI in endoscopy depends less on algorithms and more on how clinicians are trained to use them.
AI can improve quality—but only when embedded within a structured curriculum that prioritizes skills, judgment, and accountability.
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