There is a growing interest in Artificial Intelligence (AI) and how it can be applied to healthcare.
These AI rounds will provide a forum to disseminate knowledge and discuss evolving trends around AI. Presentations will focus on advances in AI development and their applications in healthcare to help facilitate discovery and innovation across UHN. AI Rounds will take place monthly via MS Teams.
Join us for the July 2025 AI Rounds
July 9th 2025, 5pm – 6pm
Foundation Models for Biomedical Image Analysis
Speaker: Jun Ma, PhD
Machine Learning Lead at UHN AI Hub
Foundation models are reshaping biomedical image analysis by enabling generalizable and multimodal solutions across diverse tasks. This talk will cover foundation models for general biomedical image segmentation across diverse modalities, multimodal large language models for joint image–text understanding, generative model for understanding cellular responses under various perturbations, and medical agents that integrate vision and language capabilities for interactive analysis. These approaches demonstrate how foundation models can accelerate research and expand the toolset available to the biomedical imaging community.
Previous Rounds
AI Rounds | March 2025
Leveraging LLMs for Clinical Impact Today
Speaker: Dr. Rajesh Bhayana
- Radiologist, University Medical Imaging Toronto (UMIT)
- Technology Lead, Joint Department of Medical Imaging (JDMI)
- Assistant Professor, University of Toronto
AI Rounds | February 2024
Accelerating the Appropriate Adoption of Artificial Intelligence in Health Care through Education and Knowledge Exchange
Speaker: David Wiljer PhD
- Executive Director, Education, Technology & Innovation, University Health Network
- Collaborator Scientist, Centre for Addiction and Mental Health
- Director of Curriculum, Medical Psychiatry Collaborative Care Certificate (MP3C Program), Trillium Health Partners, Ontario, Canada
- Professor, Psychiatry, Faculty of Medicine, University of Toronto
- Professor, Radiation Oncology, Faculty of Medicine, University of Toronto
Date and Time: Wednesday February 7, 2024, 5:00-6:00pm
AI Rounds | November 2023
Implementing AI in the Clinic
Speaker: Andrew Hope, MD, FRCPC
- Radiation Oncologist, UHN
- Associate Professor, Department of Radiation Oncology, University of Toronto
- Associate Member, Institute of Medical Science, University of Toronto
AI Rounds | October 2023
Applied Artificial Intelligence in Health: Case Examples and Learnings
Speaker: Muhammad Mamdani PharmD, MA, MPH
- Vice President, Data Science and Advanced Analytics, Unity Health Toronto
- Odette Chair in Advanced Analytics
- Faculty Affiliate, Vector Institute
- Director, University of Toronto Temerty Centre for Artificial
- Intelligence Research and Education in Medicine (T-CAIREM
- Professor, University of Toronto
AI Rounds | June 2023
Surgeons, Organs, and Data – How Machine Learning is Transforming Transplant Medicine
Speaker: Dr. Andrew Sage
- Assistant Scientist, Toronto General Hospital Research Institute
- Toronto Lung Transplant Program, University Health Network
- Assistant Professor, Department of Surgery
- Temerty Faculty of Medicine, University of Toronto
AI Rounds | May 2023
The future is here: What is ChatGPT and how it can transform healthcare.
Speaker: Dr. Bo Wang
- CCAI Chair, Vector Institute
- AI Lead, University Health Network
- Assistant Professor, University of Toronto