T-CAIREM • 2026 Trainee Rounds application

T-CAIREM • 2026 Trainee Rounds application

This form is intended for students interested in applying for the 2026 T-CAIREM Trainee Rounds for AI in Medicine.

Selected students will be awarded the opportunity to present their research to AI in healthcare leaders in biweekly seminars starting in May 2026.

This program is administered by T-CAIREM at the University of Toronto's Temerty Faculty of Medicine.

DEADLINE: March 13 @ 11:30pm ET
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PLEASE NOTE:

• Applicants must be enrolled as graduate students (from any faculty or discipline) or trainees (residents, fellows, post-docs) with any partner university or research institution in the T-CAIREM National Network. (To see if your institution is a network member, visit:
https://tcairem.utoronto.ca/t-cairem-network)

• Undergraduate students are not eligible to apply.

• Applicants do not have to be medical trainees and can be from any discipline.

• Applicants must be T-CAIREM members. (It's free! Apply by submitting your profile: https://directory.tcairem.ai)

• Late or incomplete applications will not be considered.

• No other attachments, such as reference letters or resumes, will be considered along with this application.

• For questions, contact:
Zoryana Salo
T-CAIREM Centre Administrator
zoryana.salo@utoronto.ca

STUDENT INFORMATION
Name Name First Middle Last
Name of student, including middle name if applicable.
Phone number Phone number - ### - ### ####
Institutional email address
Other email address

Student's preferred email address (if different from above)
U of T student number (If applicable)
Maximum of 10 characters allowed. Currently Entered: 0 characters.
If you aren’t affiliated with the UofT, no need to answer this field.
Primary department at the university you’re attending
Degree/training program
Maximum of 10 words allowed. Currently Entered: 0 words.
Student's degree/training program. (Specify if you’re a graduate student or a medical student.)
Years to date in degree/training program
Must be between 1 and 12 digits. Currently Entered: 0 digits.
How many years have you spent (to date) in your degree/training program?
SUPERVISOR AND RESEARCH PROJECT INFORMATION
Supervisor's name Supervisor's name First Last
(Name of supervisor, if applicable)
Supervisor's email
Supervisor’s primary institution
Maximum of 30 words allowed. Currently Entered: 0 words.
Supervisor’s primary department
Maximum of 30 words allowed. Currently Entered: 0 words.
Co-supervisor's email (if applicable)
Co-supervisor’s primary institution (if applicable)
Maximum of 30 words allowed. Currently Entered: 0 words.
Co-supervisor’s primary department (if applicable)
Maximum of 30 words allowed. Currently Entered: 0 words.
Abstract title
Maximum of 20 words allowed. Currently Entered: 0 words.
Abstract
Maximum of 300 words allowed. Currently Entered: 0 words.
RESEARCH CATEGORY

Please check all the categories that apply to your research project:

RESEARCH CATEGORY Please check all the categories that apply to your research project: Cardiology Deployment Critical Care Genomics Machine Learning / Deep Learning Medical Imaging Mental Health Natural Language Processing (NLP using unstructured data) Nephrology Neurology Oncology Pediatrics Rehabilitation Science Signal Processing (waveform data, EEG data) Vision Learning (medical imaging and/or video data) Other (please specify)
DIVERSITY SURVEY (optional)

Please consider taking our diversity survey:
https://lmp.forms-db.com/view.php?id=686151

The University of Toronto is strongly committed to equity and diversity within its community. To help to evaluate the effectiveness of our recruitment processes, the University requests that you complete the survey. Your response is voluntary and the information that you provide is strictly confidential.