COMP Career Catalyst (C³) - 2025 May: AI in Medical Physics скачать в хорошем качестве

COMP Career Catalyst (C³) - 2025 May: AI in Medical Physics

This session digs into the roles and future of artificial intelligence in medical physics, exploring how AI is reshaping medical physics and redefining the future of patient care. Dr. Chang Liu is a computer scientist specializing in image processing, computer vision, and computer graphics working on the Radformation Inc. team. He completed his Ph.D. in computer science in 2011 before joining Henry Ford Hospital as a researcher. During 7 years of work with oncologists and medical physicists, he applied his skills in medical image registration and segmentation to improve the quality of radiation therapy. Dr. Arman Rahmim is Professor of Radiology, Physics and Biomedical Engineering at the University of British Columbia (UBC), as well as Distinguished Scientist and Provincial Medical Imaging Physicist at BC Cancer. In 2018, he was recruited back to Vancouver, where his laboratory (Qurit Lab) pursues research in molecular imaging & therapy. He has served as Vice President (2017-18) and President (2018-19) of the SNMMI Physics, Instrumentation and Data Sciences Council (PIDSC), as well as Chair of the AI Task Force (2020-2024) and the Dosimetry-AI working group (2022-present). Dr. Jessica Rodgers joined the Department of Physics and Astronomy at the University of Manitoba in 2022, following an NSERC postdoctoral fellowship in the School of Computing at Queen’s University. Dr. Rodgers’ research focuses on creating clinically translatable tools for the medical physics community. Her research interests are focused on ways to improve cancer treatment through computer-assisted interventions, including image guidance for radiotherapy of gynecologic and prostate cancers and navigation approaches for cancer surgeries.