.jpg "Julian Hong, MD, MS photo")
UCSF
San Francisco, CA
Julian Hong is Assistant Professor and Medical Director of Radiation Oncology Informatics in the Department of Radiation Oncology and Bakar Computational Health Sciences Institute at the University of California, San Francisco, and the UCSF-UC Berkeley Joint Program in Computational Precision Health. He specializes in the treatment of genitourinary malignancies.
Dr. Hong’s research program focuses on the development and implementation of computational tools to provide personalized, precision cancer care. His group combines clinical domain knowledge with data science expertise to generate insights from real world data, develop actionable artificial intelligence-based tools, and evaluate the benefit of these advances in patient care. He led one of the first randomized controlled studies of healthcare machine learning, developing an electronic health record-based algorithm that accurately directed care to reduce emergency visits and hospitalizations during radiotherapy.
Dr. Hong’s work has been recognized with the Symposium on Artificial Intelligence for Learning Health Systems (SAIL) New England Journal of Medicine Travel Award, Bio-IT World Innovative Practices Award, and Radiation Oncology Institute Publication Award. He placed third in the 2018 Kaggle Google Cloud & NCAA March Madness Machine Learning Competition.
Dr. Hong received his B.S. in Biomedical Computation and M.S. in Bioengineering from Stanford University. He completed medical school at the University of Wisconsin and residency in radiation oncology at Duke University. Dr. Hong serves on the NRG Cancer Care Delivery Research Committee, American Association of Physicists in Medicine Big Data Subcommittee, American Medical Informatics Association Scientific Program Committees, and American Society of Clinical Oncology CancerLinQ Leadership Council.
Disclosures:
Bringing AI to the Radiation Oncology Clinic: Assessing and Integrating AI into Practice
Tuesday, October 1, 2024
4:14 PM – 4:26 PM ET