Temerty Centre Speaker Series: Mamatha Bhat (Dec. 8)
PRESENTER: Dr. Mamatha Bhat
DATE: December 8, 2025
TIME: 12pm to 1pm ET
DELIVERY: Online
NOTE: This event is NOT CPD-accredited for physicians
Title
Multi Agentic AI for objective consensus decision making in healthcare
Description
Objective, consistent decision-making remains a major challenge in complex clinical domains such as organ transplantation, where decisions rely on multidisciplinary expertise, heterogeneous data, and subjective interpretation. This session introduces multi-agentic AI systems designed to support objective, transparent, and consensus-driven clinical decisions. Using liver transplantation as a key example, we will explore how specialized AI “agents” can collaborate to provide a consensus decision that reduces inconsistencies and enhances objectivity and equity in care.
Learning Objectives
By the end of this session, participants will be able to:
• Define multi-agentic AI and explain how multiple specialized agents can collaborate to support complex clinical decision-making in healthcare.
• Describe how multi-agentic AI could standardize and improve objectivity in transplant decision processes such as candidate evaluation, organ offer acceptance, and post-transplant management.
About the Speaker
Dr. Mamatha Bhat completed her medical training at McGill University, Transplant Hepatology training at Mayo Clinic in Minnesota, and a PhD in Medical Biophysics at the University of Toronto. Dr. Bhat’s group has developed and is deploying ML algorithms trained on clinical and ‘omics' data to optimize the long-term outcomes of transplant patients in a personalized manner. She has received the Polanyi Prize, the Early Researcher Award from the Ministry of Research and Innovation, the CASL/CIHR Research Excellence Award, the American Society of Transplantation (AST) Basic Science Career Development Award, and is a Fellow of the AST.
