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Integrating Artificial Intelligence into Endoscopy Training
Nikko Gimpaya1, Joshua Landy2, William T Tran1
1Scarborough Health Network Research Institute, Scarborough, Ontario, Canada.
Gastrointestinal Endoscopy Clinics of North America
|June 29, 2026
Summary
Artificial intelligence (AI) integration in gastrointestinal endoscopy requires updated training. This review proposes a curriculum for AI-assisted practice, focusing on trust, independent judgment, and preserving unaided skills.
Area of Science:
- Gastrointestinal Endoscopy
- Medical Education
- Artificial Intelligence
Background:
- Artificial intelligence (AI) is increasingly integrated into gastrointestinal endoscopy.
- Current training programs need to evolve to prepare endoscopists for AI-assisted practice.
Purpose of the Study:
- To review current AI applications in gastrointestinal endoscopy.
- To propose a structured curriculum for training learners in AI-assisted endoscopy.
- To ensure the development of both technical proficiency and adaptive expertise.
Main Methods:
- Literature review of current AI applications in gastrointestinal endoscopy.
- Development of a proposed structured curriculum framework.
- Emphasis on key training components: AI trust, independent judgment, and AI-off assessments.
Main Results:
- AI applications span polyp detection, image enhancement, and workflow analysis.
- A structured curriculum can embed AI training throughout all educational stages.
- AI facilitates personalized learning and ambient feedback for accelerated competency.
Conclusions:
- Training must adapt to incorporate AI effectively into gastrointestinal endoscopy.
- The proposed curriculum balances AI proficiency with essential unaided endoscopic skills.
- Fostering trust in AI and independent judgment is crucial for successful AI integration.
