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Starts 4 June 2026 00:02

Ends 4 June 2026

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AI in Gastroenterology

Explore how AI enhances gastroenterology through detection, characterization, and clinical decision-making while balancing workflow integration, risk prediction, and real-world evaluation.
Politecnico di Milano via Polimi OPEN KNOWLEDGE

Politecnico di Milano

17 Courses


The Polytechnic University of Milan is one of the premier technical universities in Italy, specializing in engineering, architecture, and design. It holds a longstanding international reputation and offers first-rate education and research opportunities.

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Overview

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


Subjects

Artificial Intelligence