Paper 13118-27
Paper 13118-27
Recent advances in radiology artificial intelligence (Invited Paper)
20 August 2024 • 3:00 PM - 3:15 PM PDT | Conv. Ctr. Room 2
Abstract
Artificial intelligence in radiology has advanced rapidly over the last decade. Radiology is particularly amenable to AI because of its focus on imaging. In this presentation, I will review some of the latest advances in radiology AI, including the use of transformers and large language models. I will provide examples of radiology AI for diverse clinical applications including cardiovascular, cancer, and liver disease.
Presenter
National Institutes of Health Clinical Ctr. (United States)
Ronald M. Summers, M.D., Ph.D. is a tenured Senior Investigator and Staff Radiologist in the Radiology and Imaging Sciences Department at the NIH Clinical Center in Bethesda, MD. He is a Fellow of the Society of Abdominal Radiologists, the American Institute for Medical and Biological Engineering and SPIE. His awards include the Presidential Early Career Award for Scientists and Engineers, the NIH Director’s Award, the NIH Ruth L. Kirschstein Mentoring Award, and the NIH Clinical Center Director’s Award. He is a member of the editorial boards of the Journal of Medical Imaging, Radiology: Artificial Intelligence and Academic Radiology and a past member of the editorial board of Radiology. He was Co-Chair of the 2018 and 2019 SPIE Medical Imaging conferences and Program Co-Chair of the 2018 IEEE ISBI symposium. He has co-authored over 600 journal, review and conference proceedings articles and is a co-inventor on 17 patents. His research interests include thoracic and abdominal imaging,