Events

As data and artificial intelligence (AI) become increasingly pervasive in medicine, it has become critical for health professionals and clinicians to develop a strong understanding of data science and have the skills needed to build and evaluate their own machine learning models.

T-CAIREM is pleased to offer three standalone 10-week professional development courses to participants who would like to learn more about the fascinating intersection of data science and medicine.

TITLE: Navigating Challenges in Artificial Intelligence-based Ultrasound Image Analysis
PRESENTER: Phaneendra Yalavarthy
Director of TANUH: AI Centre of Excellence in Healthcare at Indian Institute of Science (IISc), Bangalore
DATE: June 23, 2026
TIME: 9am to 10am ET

Trainee Rounds Presentations (Session 3)

Elnaz Ziad: Geriatric oncology toxicity risk estimation after treatment (GO-TREAT): Machine learning models to predict adverse events in older adults with cancer.

Ganlin Feng: Adaptive Agentic AI to Enhance Clinical Diagnosis in Paediatric Rare Diseases

T-CAIREM's 2026 Healthcare of the Future Summer Bootcamp for High School Students

Application Deadline: July 5, 2026
 

University of Toronto graduate- and postgraduate-level trainees at the University of Toronto are eligible to apply for the role of T-CAIREM's Trainee Representative on our Advisory Committee. This is a wonderful opportunity to help guide T-CAIREM's direction and make a meaningful contribution to the AI in medicine community. 

This co-sponsored grant is a competitive seed funding program for multidisciplinary teams focused on the development of novel statistical or computational tools and the use of existing methodology in innovative ways.   

Co-Sponsored Stream DSI-T-CAIREM Catalyst Grant for Data Science in Medicine and Health 

Letter of Intent Deadline: July 10

Full Application Deadline: October 30

Learn how Artificial Intelligence (AI) is changing healthcare and get some hands-on training in this exciting new field from University of Toronto medical students. The Bootcamp consists of interactive workshops and dedicated group work from Monday to Thursday, with final presentations on Friday.

Trainee Rounds Presentations (Session 4)

Dilakshan Srikanthan: Spatial Interfaces Between Histological Regions Predict Glioblastoma Prognosis Beyond Composition

Ariana Walji: Optimizing AI Implementation for Surgery: Recommendations for Infrastructure and Deployment in the Operating Room

T-CAIREM's upcoming Introduction to AI in Medicine: Practical Issues & Recommendations for Healthcare Professionals weekend mini-course offers practical, hands-on exposure to the tools, opportunities, and implications of AI in your practice. You’ll leave with strategies to improve productivity and insights into the role AI plays in your specialty. 

REGISTRATION DEADLINE: July 19, 2026 @ 11:30pm ET

Trainee Rounds Presentations (Session 5)

Austin A. Barr: Diffusion-Generated Synthetic Neuroimaging Enables Transfer Learning for Anatomical Landmark Localization in Low-Data Settings

Valentina Tamayo Velasquez: Bringing AI to Psychiatry: Developing and implementing an AI prediction and alerting tool for psychiatric adverse events.