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 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.
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
- 29th Annual Meeting and Education Day of the Society for Neuro-Oncology (SNO)November 21, 2024 - November 24, 2024Leveraging Optical Imaging and Data Science to Enable Precision Intervention in Brain Tumor SurgeryNovember 26, 2024Evaluating AI Models: Benchmarking and FairnessNovember 26, 20242024 U.S. Southeast Healthcare Innovation SummitDecember 04, 2024