Machine Learning in Cancer Care Delivery: Moving from Model Validation to Clinical Workflow

March 26, 2024 11:00 a.m. - 12:00 p.m. ET

Are you a clinical informatics researcher, general artificial intelligence (AI) researcher, patient, or clinician who is interested in learning about AI for cancer research? In this webinar, panelists will discuss the challenges of transitioning from creating and validating machine learning tools into patient care.

This webinar is part of the Cancer AI Conversations bimonthly webinar series. Each event features short talks from 2–4 experts who offer diverse perspectives on timely and relevant topics related to AI in cancer research. A moderated panel discussion will follow each talk.

Can’t attend an upcoming event? Recordings will be available after each session.

William Lotter, Ph.D.

Dr. Lotter is an assistant professor at the Dana-Farber Cancer Institute and Harvard Medical School.

Julian Hong, M.D., M.S.

Dr. Hong is an assistant professor in the Department of Radiation Oncology at the University of California San Francisco.

Leah Zullig, Ph.D., M.P.H.

Dr. Zullig is a professor in population health sciences at the Duke University School of Medicine.

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