Artificial Intelligence in Adaptive Radiation Therapy电子书出版

• Dr Yi Wang is a medical physicist from the Department of Radiation Oncology at Massachusetts General Hospital (MGH) and an Assistant Professor of Radiation Oncology at Harvard Medical School (HMS) in Boston, MA, USA. He earned his BEng in Automation from the Beijing University of Aeronautics and Astronautics (China) in 2002, and his MS and PhD in Biomedical Engineering from the University of Michigan (Ann Arbor, MI, USA) in 2004 and 2009, respectively. He completed the three-year residency in therapeutic medical physics at the Harvard Medical Physics Residency Program in 2012, including a year of postdoctoral fellowship at the Francis H Burr Proton Therapy Center at MGH. Since then, he has been working as a faculty physicist in the Department of Radiation Oncology at MGH. Locally, he leads an AI Lab and serves as the Director of the Mass General Brigham (MGB) Undergraduate Fellowship Program in Medical Physics. As an internationally recognized expert on AI for radiation therapy, he serves in multiple AI-related committees, task groups, and working groups in the American Association of Physicists in Medicine (AAPM), including the Machine Intelligence Subcommittee, Ad Hoc Advisory Committee on Artificial Intelligence Boot Camps, the Vice Chair of Task Group 384 (Clinical Implementation of Automated Segmentation for Adaptive Radiation Therapy), and the Chair of the Working Group on Generative Artificial Intelligence. He has authored and co-authored over 40 journal articles, conference papers, and book chapters.

• X. Sharon Qi, PhD, is a Professor of Medical Physics in the Department of Radiation Oncology at the University of California Los Angeles (UCLA). She is an affiliated faculty member of UCLA’s CAMPEP-accredited Physics and Biology in Medicine Interdisciplinary Graduate Program. Dr. Qi is boardcertified in Therapeutic Radiologic Physics by the American Board of Radiology and is a Fellow of the American Association of Physicists in Medicine (AAPM). Dr. Qi earned her bachelor’s degree in physics and her PhD degree in Experimental Particle Physics from the Institute of High Energy Physics, Chinese Academy of Sciences in Beijing, China. She pursued her doctoral research as a scientist at Fermi National Accelerator Laboratory (Fermilab) in Batavia, Illinois, before completing a postdoctoral fellowship in Medical Physics at the Medical College of Wisconsin. She served as a faculty member in the Department of Radiation Oncology at the University of Colorado Denver prior to joining UCLA. Dr. Qi has served as both principal investigator and co-investigator on various research projects and clinical trials. She has published more than 130 peer-reviewed journal articles, over 220 peer reviewed abstracts, and 7 book chapters. Her research focuses on image-guided radiation therapy and adaptive radiation therapy, outcome modeling and response prediction, big data analytics, and the application of AI in radiotherapy oncology. As an internationally recognized expert in AI for radiation therapy, Dr. Qi contributes actively to multiple AI-focused committees, working groups, and task groups with the AAPM. Her roles include serving on the Machine Intelligence Subcommittee (MIS) and the Therapy Physics Committee (TPC), Chairing Task Group 384 on the clinical implementation of automated segmentation for adaptive radiation therapy, and acting as Vice Chair of the Working Group on Generative Artificial Intelligence. Beyond AAPM, she also contributes to broader national initiatives through the American Society for Radiation Oncology (ASTRO) and NRG Oncology. Beyond her research and committee service, Dr. Qi actively contributes to scientific publishing, serving as Deputy Editor and Associate Editor for the Journal of Medical Physics, and holding editorial and peer review roles for other journals in radiation therapy.

Artificial Intelligence in Adaptive Radiation Therapy