HEALTHCARE AI cOHORT
Sessions
Register for 2026 AI Cohort Sessions
No-cost, virtual sessions. Office Hours available for real-time support.
Registration is session-based. Visit the link below each session to register.
June
24
Session 1:
Trust Is Built, Not Bought: Making AI Safe and Defensible in Clinical Care
Time: 1:00 PM - 1:45 PM PST
This session connects evolving regulatory expectations to existing frameworks and highlights practical steps for defining risk, ensuring accountability, and monitoring performance to implement AI that is safe, defensible, and usable at scale.
Featured speakers
Lydia M. Kotowski, JD, MHA
CTRC Policy and Regulatory Affairs Manager
Sylvia Trujillo MPP, JD
CTRC Strategic Advisor
June
24
Session 2:
Clinical AI That Delivers: Evidence, Workflow Fit, and What Actually Changes Care
Time: 3:00 PM - 3:45 PM PST
This session highlights clinical AI tools that improve care and the factors behind their success, focusing on alignment with clinical judgment, strong workflow fit, and decision support, along with real-world evaluation and monitoring.
Featured Speaker
David Wu MD, PhD
Harvard-Stanford AI Research and Science Evaluation (ARISE) Network
Adam Rodman, MD, MPH, FACP
General Internist, Medical Educator at Beth Israel Deaconess Medical Center, Assistant Professor at Harvard Medical School
June
24
Session 3:
From Promise to Practice: Preparing Care Teams for Generative AI in the Next Year
Time: 4:00 PM - 4:45 PM PST
This session focuses on applying generative AI in clinical settings, emphasizing design, integration, evaluation, and governance, with an emphasis on near-term use, care team interaction, and responsible scaling.
Featured Speakers
Jonathan H. Chen MD, PhD
Associate Professor Director for Medical Education in Artificial Intelligence Stanford Division of Computational Medicine + Division of Hospital Medicine + Clinical Excellence Research Center Department of Medicine + Biomedical Data Science
Coming Soon
Session 4:
AI Scribes in Action: Real-World Lessons from a Practicing Physician
AI powered documentation tools are transforming how providers capture patient encounters. What does this look like in practice? In the webinar, Dr. Magan shares real world insights from integrating AI scribes into her clinical workflow. She highlights how these tools can improve efficiency, reduce documentation burden, and enhance patient interactions, while offering lessons on challenges and successful adoption.
Featured speakers
Yimdriuska Magan, MD, MPH
Co-founder Alma First
Jordan Berg, National Telehealth Technology Assessment Center (TTAC)
Coming Soon
Session 5:
Harnessing AI to Advance Maternal Health Outcomes
Maternal health remains a critical priority, with disparities and preventable complications affecting outcomes. In this webinar, Dr. Wong explores how AI is advancing maternal care through predictive analytics, early risk detection, and improved care coordination. Join us to learn how AI can support safer, more effective, and maternal health outcomes for all.
Featured speakers
Melissa Wong, MD, MHDS
Assistant professor of Obstetrics and Gynecology
Coming Soon
Session 6:
From Policy to Practice: Designing an Effective AI Governance Strategy
As AI becomes embedded in healthcare, organizations must move beyond policy to practical governance. In this webinar, Maria Liu shares how to build scalable, compliant AI governance frameworks that align with regulatory, ethical, and operational priorities. Learn actionable strategies to manage risk, support innovation, and implement effective governance in real world healthcare settings.
Featured speakers
Maria Liu, Healthcare VP
2026 AI Cohort Office Hours
AI Cohort Office Hours
Office Hours provide a dedicated time to connect directly, ask questions, and get support on any AI Cohort session topics.
Office Hour Facilitator
Jordan Berg, National Telehealth Technology Assessment Center (TTAC)
Information Coming Soon