AI in Endoscopy

What You'll Learn

AI-assisted endoscopy is transforming how we detect, diagnose, and manage GI lesions — but what does the evidence actually show, and what are the risks of becoming dependent on these systems?

This focused 90-minute webinar brings together two leading researchers to tackle the most pressing questions in AI endoscopy: from polyp detection and optical diagnosis in colonoscopy, to real-time Barrett's surveillance and the emerging deskilling debate.

Key Topics

• CADe performance in practice — What the RCTs show vs. real-world implementation
• Optical diagnosis with AI (CADx) — Can we safely adopt resect-and-discard strategies?
• The deskilling dilemma — Evidence that AI exposure may reduce endoscopist skill
• Barrett's AI detection — From 89.9% accuracy in research to your endoscopy suite
• Multimodal AI imaging — Combining WLE, NBI, and TXI for improved Barrett's assessment
• Human-AI interaction — How examiner confidence changes when AI is present

Expert Faculty

Prof. Cesare Hassan

Humanitas University & Humanitas Research Hospital, Milan

Lead author of the ESGE AI Curriculum and the EAGLE trial on cloud-based AI for neoplasia detection. Prof. Hassan's meta-analyses in Gastroenterology have defined the evidence base for AI in colonoscopy, while his recent work in The Lancet Gastroenterology & Hepatology on deskilling risk provides a critical counterpoint to AI enthusiasm.

Prof. Dr. Alanna Ebigbo

St. Josef-University Hospital, Bochum

Pioneer of real-time AI for Barrett's oesophagus detection, with landmark publications in Gut and Endoscopy. Dr. Ebigbo's research on multimodal imaging (WLE/NBI/TXI) integration with AI, and her 2026 work on human-AI interaction and examiner confidence, represents the cutting edge of upper GI artificial intelligence.

Who Should Attend?

• Gastroenterologists considering or already using AI in their endoscopy suite
• Endoscopists who want to understand the evidence behind commercial AI systems
• Barrett's surveillance endoscopists interested in AI-assisted detection
• GI trainees wanting a research-grounded introduction to AI in endoscopy
• Endoscopy unit managers evaluating AI technology adoption

Format

Two focused 20-minute lectures, each followed by 20 minutes of moderated discussion. This interactive format ensures you leave with answers to the questions that matter most for your practice.

Registration

Virtual Access

• Live streaming of both lectures and discussions
• Interactive Q&A with faculty
• Access to catch-up recording after the event

Free for GIEQs Pro members — simply login at course time to watch live.