T-CAIREM provides customized Post-Graduate Medical Education (PGME) programs focused on Artificial Intelligence (AI) in medicine.
Modules for all PGME Programs
Session 1: Foundations of Al in Healthcare
Session 2: Al-Powered Medical Scribes
Session 3: Day-to-day use of Al in Care
Session 4: ML for Clinical Decision Support Session 5: Ethical use of Al in Healthcare
Additional Al-Advanced Modules
Session 6: Evaluating Al Models for Healthcare
Session 7: Unsupervised ML and patient stratification Session 8: Deep Learning for Medical Images
Session 9: NLPs / LLMs in Clinical Practice
Session 10: Reading and Writing Al Papers
AI is rapidly shaping healthcare practice. By engaging with these sessions, residents gain the competencies needed to safely and effectively integrate AI tools into:
Building AI literacy during residency ensures trainees are equipped to critically appraise AI applications and responsibly adopt new technologies in their field.
We have developed the following modules and highlight their:
Progressive Learning Design: Content is structured to build on earlier sessions, reinforcing core concepts before advancing to applications.
Flexible Delivery: Modules can be delivered as standalone sessions, grouped into longer workshops, or scheduled over multiple timepoints.
Tailored to Program Needs: Each session is adapted to the specialty, level of training, and existing knowledge base of the residents.
T-CAIREM offers introductory AI educational sessions for clinicians, including basic terminology, model development vs. deployment, and how to appraise AI papers. Participants will also learn about specific AI applications tailored to their field of study. These AHD sessions are available at no cost and can be delivered either in-person or virtually.
To schedule a workshop or academic half-day for medical students, please contact Marianne So, T-CAIREM's Curriculum and Event Coordinator. We recommend that all programs receive the foundations module and then consider adding additional practical or academically oriented modules.