AI in Healthcare Seminar Series

The AI in Healthcare Seminar Series is a virtual, community‑wide learning experience open to all members of the Texas Medical Center community. Held every other Tuesday from noon - 1 p.m. on Microsoft Teams, the series explores the evolving role of artificial intelligence across education, clinical practice, research, ethics, and scholarship.

Advance registration is required due to limited spots and will ensure the session links are automatically added to your calendar. Participants who attend all six sessions will be eligible to receive a certificate of completion, recognizing their engagement and commitment to advancing AI in healthcare. Register now to learn with us!

Sessions

Session 1 - State of AI in 2026

Speaker: Dr. Adam Rodman
March 17, 2026
Noon - 1 p.m. via Teams

As artificial intelligence accelerates across clinical practice, health professionals need a clear understanding of its capabilities, limitations, and real‑world impact. In this opening session, Dr. Adam Rodman will provide a grounded overview of the current state of AI in healthcare—highlighting key technologies, emerging use cases, and practical considerations for clinicians. Participants will gain a foundational framework to navigate AI tools responsibly and effectively as they engage with the rest of the series.

Register here

Session 2 - AI in Clinical Care

Speaker: CMIO Roundtable
March 31, 2026
Noon - 1 p.m. via Teams

Artificial intelligence is rapidly moving from experimentation to everyday clinical use. In this panel discussion, Drs. Ash Goel, Peter McCaffrey and Jae Won Joh will explore how AI is being deployed across clinical services to improve efficiency, expand access, and enhance quality while preserving clinician judgment and patient trust. Drawing on frontline clinical and health-system technology leadership perspectives, the panel will address real-world operational, regulatory, and ethical considerations, and share practical frameworks for evaluating, piloting, and scaling AI-enabled solutions within provider organizations.

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Sessions 3 - AI in Education

Speaker: Jennifer Benjamin
April 14, 2026
Noon - 1 p.m. via Teams

Artificial intelligence is transforming every aspect of medicine, and education is no exception. Rather than viewing AI as a replacement for traditional teaching, we have an opportunity to integrate it in ways that enrich learning experiences and support educators. When applied thoughtfully, AI can personalize instruction, streamline feedback and expand access to knowledge, while still preserving the essential elements of learner development, critical thinking and human mentorship that define effective medical education. Join us as Dr. Jennifer Benjamin leads us through strategies to effectively employ AI in medical education.

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Session 4 - AI in Research

Speaker: Drs. Carolyn Chung and Jessica Davila
April 28, 2026
Noon - 1 p.m. via Teams

Artificial intelligence is transforming medical research- accelerating drug discovery, improving diagnostic accuracy, and enabling more personalized treatment strategies. Collaboration between clinicians and researchers is essential in order to responsibly incorporate AI into the research driving healthcare innovation. In this session, Dr. Caroline Chung will discuss her experience with leading the integration of AI into research at MD Anderson Cancer Center. In addition, Dr. Jessica Davilla will share BCM resources available to support faculty and trainees utilizing AI in their research.

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Other Upcoming Sessions:

Session 5 - AI in Scholarship
Speaker: Neil Mehta
May 12, 2026
Noon - 1 p.m. via Teams
Register here
Session 6 – AI Ethics
Speaker: Kristin Kostick
May 26, 2026
Noon - 1 p.m. via Teams
Register here

Certificate of Completion

Requirements for the certificate include attending all six virtual sessions, answering a feedback form, and submitting a short reflection. More details to come.

AI Connect

As a companion to the AI in Healthcare Seminar Series, AI Connect keeps the conversation going each week - building on the latest session, strengthening connections and supporting hands-on learning.

Join colleagues in a collaborative environment featuring practical demos, real-world workflows and open discussion about how AI can support your work.