Challenges and Opportunities for AI in Abdominal Radiology

Challenges and Opportunities for AI in Abdominal Radiology



AI methodology has improved dramatically over just the past five years. Clinical implementation however has moved much more slowly. In this talk, I will provide an overview of how state-of-the-art AI can help radiologists make more accurate and efficient diagnoses and predictions. I will focus on AI applications in the abdomen, both my area of clinical specialty and a relatively less traveled topic area in AI. I will also cover such important topics as explainability, the role of large data sets, and ethics.
AI4C lectures are now CME approved! MDs, DOs, NPs, and PAs can receive CME category 1 credit. Other health care professionals can get participation certificates including Information Technology professionals. Go to the following link to sign up for CME:
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 and of the American Institute for Medical and Biological Engineering.

His awards include the Presidential Early Career Award for Scientists and Engineers, the NIH Director’s 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 500 journal, review and conference proceedings articles and is a co-inventor on 14 patents. His research interests include abdominal imaging, large radiology image databases, and artificial intelligence.

MGH & BWH Center for Clinical Data Science
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Oct 14 2021


12:00 pm - 1:00 pm

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