Education
Intro to AI
ASGE Masterclass: Artificial Intelligence 101
AI Glossary
Demystifying the Black Box: Where AI meets GI
Introduction to AI Educational Series
Welcome to Intro to AI. This mini course is designed to help gastroenterologists build a foundational understanding of artificial intelligence. Across eight modules, you’ll explore the basics of AI, its practical applications, and its transformative potential in medicine and beyond. Through insights from leading experts and carefully curated resources, this series provides a structured introduction to the evolving landscape of AI.
Module 1: What is AI?
Module One concentrates on the fundamentals—key terms and concepts that will lay the groundwork for understanding the technology behind AI and its applications in healthcare and gastroenterology.
Module 2: Basics of Machine Learning
Machine learning (ML) is a subset of artificial intelligence (AI) that enables machines to learn patterns and make predictions from data without being explicitly programmed. It is a powerful tool used across various fields, including healthcare, to solve complex problems. In this module we simplify the terms for easier understanding.
Module 3: Data — The Heart of AI in Medicine
- Understand different types of clinical data used in AI.
- Learn key concepts like data collection, preprocessing, quality control, and bias detection.
- Recognize the challenges of clinical data management.
- Explore examples relevant to real-world medical AI projects.
Module 4: Introduction to Large Language Models (LLMs) for Gastroenterologists
What is a Language Model?
A language model is an algorithm designed to predict sequences of words by learning patterns from vast datasets. It doesn’t judge grammatical correctness but focuses on how natural a sequence sounds based on human-written language.
Module 5: Understanding Basics of AI Agents and their Impact on Clinical Practice & Administrative Tasks in Gastroenterology
An AI agent is a system that perceives its environment, processes data, makes decisions, and takes actions autonomously. It can adapt dynamically to new information and guide its own behavior using Large Language Models (LLMs), decision-making algorithms, and tool integrations.
In this module Part 1- provides the potential clinical and administrative tasks that can be augmented by AI agents. Part 2 of this module will go over the basics of the technology behind AI agents.
Education, Training & Core Curriculum
AI in GI Global Summit
An annual gathering that brings together leading gastroenterologists, industry experts, technologists, and regulators from around the world to explore the present and future of Artificial Intelligence in Gastroenterology.
AI Hands-on Workshop at DDW
Each year at DDW, leading experts in Artificial Intelligence and GI offer GI endoscopists a practical, hands-on learning opportunity focused on AI. The workshop aims to equip physicians with the skills needed to effectively integrate AI into both clinical and operational aspects of their practices.
AI Corner on GI Leap
Explore the AI Corner on GI Leap for free access to a wealth of presentations covering AI in healthcare, medicine, and endoscopy.
Papers
Consensus statements on the current landscape of artificial intelligence applications in endoscopy, addressing roadblocks, and advancing artificial intelligence in gastroenterology
Prepared by: ASGE AI Task Force April 16, 2024
Physician perceptions on the current and future impact of artificial intelligence to the field of gastroenterology
Leggett, Cadman L. et al. Gastrointestinal Endoscopy, Volume 99, Issue 4, 483 – 489.e2
Position statement on priorities for artificial intelligence in GI endoscopy: a report by the ASGE Task Force
Berzin, Tyler M. et al. Gastrointestinal Endoscopy, Volume 92, Issue 4, 951 – 959
Framework and metrics for the clinical use and implementation of artificial intelligence algorithms into endoscopy practice: recommendations from the American Society for Gastrointestinal Endoscopy Artificial Intelligence Task Force
Parasa, Sravanthi et al. Gastrointestinal Endoscopy, Volume 97, Issue 5, 815 – 824.e1
Proceedings from the First Global Artificial Intelligence in Gastroenterology and Endoscopy Summit
Parasa, Sravanthi et al. Gastrointestinal Endoscopy, Volume 0, Issue 0
AI Scholars Program
The ASGE AI Scholars Program provides basic training to highly motivated early career gastroenterologists and fellows in the application of computational methods and machine learning techniques to advance the field of gastroenterology and endoscopy and to benefit our patients.