Past Events From 2023

Dr. Stephanie Garies is the CIHR Health System Impact Postdoctoral Fellow embedded in the St. Michael’s Hospital Family Health Team (FHT). In this presentation, she discusses the opportunities and gives real-world examples of Artificial intelligence in primary care.

In this talk, Dr. Mary-Louise Greer (general paediatric radiologist on staff at Toronto's Hospital for Sick Children) and Dr. Moti Freiman (assistant professor and the director of the Technion - Israel Institute of Technology's Computational MRI Lab) discussed the potential of Artificial Intelligence-based quantitative magnetic resonance imaging (MRI) analysis to identify clinically relevant microstructural changes with clinical applications in pediatric Crohn’s disease and potentially trigeminal neuralgia. The co-presenters provided an overview of the inaugural T-CAIREM Technion Collaboration Catalyst Workshop held in Ein Gedi, Israel in May 2023 aimed at promoting clinical AI research collaboration between these two institutions.

Kristina Kupferschmidt is a PhD student at the University of Guelph and the Vector Institute for Artificial Intelligence who explores using training data composition to provide insight on model workings and limitations. Min Li Chen is working towards a Master of Science in Medical Biophysics at the University of Toronto. Her research examines a prototype AI workflow that empowers microscopists to design and share tissue classifiers without the need for sophisticated coding or complex collaborations.

Rami Saab from the University of Toronto's Temerty Faculty of Medicine discussed his research using Artificial Intelligence (AI) to detect swallowing abnormalities in post-stroke patients. Ruiyan Ni, a PhD Candidate with the UofT's medical biophysics department, explained her research using Deep Learning to automatically segment targets and organs at risk in cervical high-dose rate brachytherapy.

UofT PhD Candidate, Micaela Consens discussed "Transforming Genomic Interpretability: A DNABERT Case Study." Saqib Islam, an
MSc student in the University of Manitoba's Department of Computer Science, presented on "Deep learning-based joint detection and Sharp-van-der-Heijde score prediction in Rheumatoid Arthritis hand radiographs." Dr. Mohammad Khan from the UofT's Department of Family and Community Medicine presented on "Machine Learning Quantification of Fluid Volume in Eyes with Retinal Vein Occlusion Undergoing Treatment with Aflibercept: The REVOLT study."

Phoenix Wilkie, a graduate student with the Division of Neurology at the University of Toronto, discussed her research creating better whole slide image datasets. 
PhD-candidate at McGill University Sébastien Quetin discussed his work using Deep Learning to predict dose with gold-standard accuracy at the high resolution required for clinical use.

André Picard, veteran journalist and health columnist with The Globe and Mail, discussed the fascinating evolution of Canada's medicare system and outlined important recommendations to improve it for the future.

Dr. Arjun Balachandar is a fourth-year adult neurology resident at the University of Toronto. For the 2023 T-CAIREM Trainee Rounds, he presented his research project:  Automated Sleep Detection in Movement Disorders Using Deep Brain Stimulation and Machine Learning. 

T-CAIREM's Research Co-Lead Dr. Anna Goldenberg and the Faculty of Medicine's Department of Laboratory Medicine & Pathobiology Dr. Joseph Ferenbok, discussed the new Artificial Intelligence in Healthcare program that will be launching in September.

T-CAIREM offered two grants to help researchers develop datasets that will be securely housed on the Health Data Nexus. Due to interest in this granting opportunity, we held an information session to answer questions from potential applicants.

T-CAIREM director Dr. Muhammad Mamdani spoke to the University of Waterloo community about our T-CAIREM Network and ways to use AI to advance healthcare in Canada.

Dr. Peter Lee, Microsoft Corporate Vice President, Research and Incubations, gave an update on the state of the art of large language models and their application to medicine, including the new GPT-4 (from openai.com).