Name
Focus Session: Active Learning in Pathophysiology: Applications of AI-Enabled Physiology Models
Date & Time
Sunday, June 7, 2026, 9:45 AM - 11:15 AM
Speakers
Aaron Smith - AIBODY
Presentation Track(s)
Technology & eLearning
Presentation Topic(s)
Technology and eLearning
Description

This session examines how AI-driven digital physiology simulations can transform pathophysiology education by moving beyond passive methods, such as lectures and static case studies. Traditional approaches often fragment complex systems and promote memorization rather than deep understanding, leaving learners with limited opportunities to test ideas or observe the consequences of their reasoning. 

The session will begin with an overview of current challenges in pathophysiology teaching and the rationale for simulation. A live demonstration of an AI digital physiology platform will show how systemic responses can be visualized dynamically. Participants will then take part in a case-based exercise, applying simulation tools to clinical decision-making and receiving immediate feedback on their outcomes. A facilitated group discussion will explore educational value, integration into curricula, and opportunities for scaling across healthcare systems. 

The session will highlight how interactive simulations support active, experiential learning. By modelling processes across cellular, organ, and systemic levels in real-time, these platforms enable learners to explore “what if” scenarios, observe treatment responses, and refine their mental models of disease. Such approaches foster comprehension, engagement, and systems thinking. 

By the end, participants will have a better understanding of current limitations in pathophysiology education, experience how simulation enhances comprehension of dynamic processes, and identify practical steps for adopting AI-based tools to improve engagement and readiness in diverse learner groups.

Learning Outcomes

  1. Identify current gaps and limitations in traditional pathophysiology teaching methods. 
  2. Explain how an AI-driven digital physiology platform, built from the subcellular to organ level, can model dynamic systemic processes in real time. 
  3. Apply simulation-based tools to explore clinical decision-making and receive AI-guided feedback on outcomes. 
  4. Critically evaluate how digital simulation enhances learner engagement, comprehension, and systems thinking across diverse learner groups. 
  5. Discuss the implications of integrating AI-supported physiology simulations into curricula at local, regional, and national levels.