December 19 Dec 19
12:00 PM - 01:00 PM
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Medical Physics Seminar - Wei Liu

Artificial Generative Intelligence for Radiation Oncology

12:00pm – 1:00pm Seminar & Discussion

Zoom Webinar

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Dr. Wei Liu, Professor of Radiation Oncology and Research Director of Division of Medical Physics of Mayo Clinic in Arizona

Dr. Wei Liu obtained his PhD from Princeton University in 2007. Currently he is Professor of Radiation Oncology and Research Director of Division of Medical Physics of Mayo Clinic in Arizona. He is a Fellow of AAPM. He was the recipients of the John S. Laughlin Young Scientist Award of AAPM in 2019 and the NIH/NCI Early Career Award (K25) in 2012. A scientific term Liu Limit was named after him for his work in plasma astrophysics. Currently he serves as Co-Chair of Particle Therapy Co-Operative Group Thoracic SubCommittee. He is an Associate Editor of Red Journal and Med. Phys. and an Editorial Board member of Phys. Med. Biol. He also serves in the Imaging Technology Development study section and Special Emphasize Panel of NIH and as a reviewer for the Netherlands Organisation for Scientific Research (NWO/ZonMw) and KWF Kankerbestrijding (Dutch Cancer Society).


Within the complex landscape of cancer therapeutics, radiation oncology stands as a critical component, leveraging multi-dimensional treatment strategies. The rapid evolution and integration of Artificial Intelligence (AI) into this field have catalyzed significant advancements, notably in enhancing the precision, conformity, and operational efficiency of radiation oncology. However, the deployment of AI in standard clinical practice encounters notable hurdles, predominantly its suboptimal performance in managing non-standard, outlier oncological cases. The advent of Artificial Generative Intelligence (AGI) marks a significant shift in this arena. AGI, distinguished by its advanced capabilities in few-shot and zero-shot learning, offers a pathway towards developing highly robust and generalizable AI models. These models are imperative for seamless and effective integration into the various facets of radiation oncology. This presentation delves into the transformative potential of AGI across the entire spectrum of radiation therapy processes, encompassing stages such as initial patient consultation, imaging and simulation, intricate treatment planning, plan approval alongside stringent quality assurance, precise radiation delivery, and comprehensive patient follow-up. Through this exploration, we aim to demonstrate how AGI can substantially enhance the efficacy of radiation therapy, ultimately leading to improved treatment outcomes for cancer patients.