AI in Gastroenterology: A Practical Hands-On Introduction for Clinicians at DDW

May 2, 2025, 2:00 PM - 7:15 PM

*US Pacific Time

Location:
DDW 2025
San Diego, CA

Register Now

AI in Gastroenterology: A Practical Hands-On Introduction for Clinicians is a half-day workshop designed to introduce gastroenterologists to the fundamentals of Artificial Intelligence (AI) and its applications in clinical practice. Participants will explore key AI concepts, critically evaluate AI research, and address ethical considerations such as patient privacy and data security. The workshop includes practical exercises with Natural Language Processing (NLP) and Large Language Models (LLMs), providing hands-on experience with these technologies. By the end, attendees will be equipped with strategies to effectively integrate AI tools into their practice, enhancing patient care.

  1. Understand the Fundamentals of AI and Its Applications in Gastroenterology:
    Participants will gain a foundational understanding of AI, including key concepts such as machine learning and deep learning, and explore how these technologies are currently being applied in gastroenterology.
  2. Critically Evaluate AI Research in Medicine:
    Participants will learn how to review and assess the quality of AI studies in the medical literature, with a focus on understanding AI metrics, outcomes, and potential biases.
  3. Explore the Ethical Considerations of AI Implementation in Clinical Practice:
    Participants will identify and discuss ethical challenges associated with AI in medicine, including patient privacy, data security, and the potential for algorithmic bias.
  4. Gain Practical Experience with NLP and LLM Technologies in Medicine:
    Participants will learn how to apply Natural Language Processing (NLP) and Large Language Models (LLMs) to real-world scenarios in gastroenterology, understanding both their potential and limitations.
  5. Develop Strategies for Integrating AI and NLP into Gastroenterology Practice:
    Participants will formulate actionable plans to incorporate AI and NLP tools into their clinical workflows, enhancing decision-making and patient care through these advanced technologies.

 

Sravanthi Parasa

Sravanthi Parasa, MD, FASGE

Swedish Medical Center

Seattle, WA

Venkata Sandeep Akshintala, M.B.B.S.

Venkata Sandeep Akshintala, MD

John Hopkins Medical Institution

Baltimore, MD

May 2, 2025

Print Agenda

*US Pacific Time

12:00 PM - 12:15 PM

Welcome and Introduction (15 min)

  • Overview of Workshop Objectives
  • Introduction to AI in Medicine
12:15 PM - 1:00 PM

Session 1: Basics of AI in Medicine (45 min)

  • Understanding AI: Definitions and Key Concepts
  • Overview of AI Applications in Gastroenterology
  • Hands-On Experiment:
    • AI Demo: Participants interact with a simple AI model (e.g., a decision tree or a basic image classifier). The demo could involve uploading endoscopic images and observing how the AI categorizes them, highlighting the potential and limitations of AI in practice.
1:00 PM - 1:45 PM

Session 2: Principles of AI in Medicine (45 min)

  • AI Algorithms: How They Work
  • Machine Learning vs. Deep Learning
  • Data Requirements and Limitations in Medical AI
  • Hands-On Experiment:
    • Building a Simple Predictive Model: Using a user-friendly platform like Google Colab, participants can work through creating a basic predictive model based on patient data. They can input variables, train the model, and observe how changes in data affect outcomes, gaining insights into the data dependency of AI models.
1:45 PM - 2:00 PM

Break (15 min)

2:00 PM - 2:45 PM

Session 3: How to Review an AI in Medicine Paper (45 min)

  • Critical Appraisal of AI Research
  • Understanding AI Metrics and Outcomes
  • Common Pitfalls in AI Studies
  • Hands-On Experiment:
    • Paper Review Workshop: Participants are provided with an AI research paper in gastroenterology. They work in small groups to critically analyze the study, identifying strengths, weaknesses, and the validity of the AI model’s results. This practical exercise helps solidify their understanding of how to evaluate AI research.
2:45 PM - 3:30 PM

Session 4: Ethics of AI in Medicine (45 min)

  • Ethical Considerations in AI Development and Use
  • Patient Privacy and Data Security
  • Bias in AI Algorithms and Fairness
  • Hands-On Experiment:
    • Ethics Simulation: Participants engage in a scenario-based discussion where they must navigate ethical dilemmas involving AI in clinical practice, such as handling biased data or making decisions based on AI predictions. This reinforces the importance of ethical considerations in AI deployment.
3:30 PM - 4:15 PM

Session 5: Natural Language Processing (NLP) and Large Language Models (LLMs) in Medicine (45 min)

  • Introduction to NLP and LLMs: Definitions and Key Concepts
  • Applications of NLP and LLMs in Gastroenterology: From Clinical Documentation to Decision Support
  • Pitfalls of NLP and LLMs: Data Bias, Model Interpretability, and Over-Reliance on AI
  • Hands-On Experiment:
    • NLP Tool Demonstration: Participants use an NLP tool to extract information from clinical notes or research articles. They can explore how the tool processes language, identifies key data points, and the potential errors or biases it may introduce.
    • LLM Interaction Exercise: Participants interact with a pre-trained LLM to see how it generates responses to medical queries, discussing the accuracy and reliability of the information provided.

 

4:15 PM - 5:00 PM

Session 6: Interactive Group Discussion and Case Studies (45 min)

  • Group Discussion on AI and NLP/ CV Use Cases in Gastroenterology
  • Identifying Opportunities and Challenges in AI and NLP/CV Implementation
  • Developing a Personal Action Plan for Incorporating AI and NLP/CV in Practice
  • Hands-On Experiment:
    • Case Study Brainstorming: Groups are given real or hypothetical cases where AI and NLP/CV could be applied in gastroenterology. They brainstorm potential solutions, considering the data needed, possible outcomes, and how these technologies could improve patient care. Each group presents their ideas, fostering collaborative learning.
5:00 PM - 5:15 PM

Wrap-Up and Q&A (15 min)

  • Summary of Key Takeaways
  • Open Floor for Questions
  • Next Steps and Further Learning Opportunities
Price TierEarly BirdRegular
ASGE Member $99$199
ASGE Nonmember $150$250
ASGE Trainee Member$50 $50
ASGE Trainee Nonmember Trainee $50 $50

 

Early bird registration ends at end of day February 26.

View ASGE’s Policies and Procedures for information on Cancellation & Refunds.

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