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.

Trainee Rounds Presentations (Session 1)

Marco Istasy: Machine learning identifies prognosticators of intracranial metastatic disease in patients with breast or lung cancer

Leen Alzebdeh: Predicting Inpatient Blood Glucose for Cardiovascular Surgery Patients with T2D Using EHR Data

Trainee Rounds Presentations (Session 2)

David Chen: Development of an Agentic Multi-LLM System to Support the Informed Consent Process in Clinical Trials

Mahri Kadyrova: Deep Learning–Based Tongue Segmentation and Motion Analysis in Motor Neuron Disease Using Uncontrolled Videos

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

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

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.

Registration closes for T-CAIREM's 2026 AI in Healthcare High School Summer Program in P.E.I. on August 12, 2026.