AI in Gastroenterology

How can AI improve gastroenterology—enhancing detection, characterization, and clinical decisions—without increasing unnecessary procedures, surveillance burden, or workflow friction?

Syllabus

Board
Week 0 - Introduction to the course
Week 1 - The Gastroenterology Landscape
Foundations of Gastroenterology: Key Structures and Functions
When Things Break: Linking Structure and Function to Diagnosis
Endoscopy: Tools, Techniques, and Data
Inflammatory GI Diseases: From IBD to Clinical Biomarkers
Understanding Functional Gastrointestinal Disorders
Precancerous Lesions and Early Detection Challenges
Foundations Checkpoint
Case study: results
Week 2 - AI in GI Practice
Foundations of AI in Gastroenterology: The Neural Network
AI for Image Detection in Gastroenterology
AI for Image Characterization: Beyond Detection
AI for Risk Prediction and Clinical Forecasting
Large Language Models (LLMs) in GI Practice
AI Applications: Checkpoint
Week 3 - Evaluating AI in Real-World Gastroenterology
How to Assess the Impact of Technology in Medicine
What Methodologies are Used to Evaluate the Impact of AI
Evaluating Outcomes: What Has AI Delivered So Far?
How is AI Changing the Profession. Integrating AI into Clinical Gastroenterology Workflows
Assessing AI Checkpoint
Additional resources

Taught by

Prof. Cesare Hassan, Prof. Alessandro Armuzzi, Dott. Vincenzo Craviotto, Prof. Giuseppe Jurman, Prof. Raf Bisschops, Prof. Marietta Iacucci, Prof. Holger Schünemann, Prof. Antonio Facciorusso, and Dr. Marta Ranzini