Machine Learning in Cancer Care Delivery: Moving from Model Validation to Clinical Workflow
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 was part of the Cancer AI Conversations bimonthly webinar series. Each event featured short talks from 2–4 experts who offered diverse perspectives on timely and relevant topics related to AI in cancer research. A moderated panel discussion followed each talk.
Can’t attend an upcoming event? Recordings will be available after each session.
Dr. Lotter is an assistant professor at the Dana-Farber Cancer Institute and Harvard Medical School.
Dr. Hong is an assistant professor in the Department of Radiation Oncology at the University of California San Francisco.
Dr. Zullig is a professor in population health sciences at the Duke University School of Medicine.
Upcoming Events
- Predicting Patients’ Response to Immunotherapy from Tumor Histopathology and Blood: Computational Science in Immuno-oncologyJuly 08, 2025Data Jamboree: Enhancing Childhood Cancer Data Sharing and UtilitySeptember 29, 2025 - September 30, 2025NCI Office of Data Sharing’s Annual Data Sharing Symposium 2025: How Data Advances the Impact of Cancer ResearchSeptember 30, 2025 - October 01, 2025Childhood Cancer Data Initiative (CCDI) Symposium 2025October 06, 2025 - October 07, 2025