The Film Panel, one of the annual meeting’s most popular events, traditionally pits teams of the SIR elite against each other answering “Jeopardy”-style questions about many different IR topics in front of an audience.
But this year, SIR is challenging the audience to “Beat the Geeks” — outsmart a team of four Journal of Vascular and Interventional Radiology (JVIR) editors — during the Tuesday plenary session, which starts at 10:30 a.m. in West Hall B.
SIR has partnered with the Radiological Society of North America to use Diagnosis Live, an interactive tool that allows for mobile device-friendly games using multiple-choice questions and touch screens.
“The Geeks” will answer the questions from the stage. The team includes JVIR Social Media Editor Osman Ahmed, MD, and JVIR Associate Editors Nadine Abi-Jaoudeh, MD, FSIR; Maureen Pearl Kohi, MD; and T.J. Ward, MD.
The audience will be split into four teams, each captained by a member of the Annual Meeting Committee. Workshop Chair Daniel Sze, MD, PhD, FSIR, leads the Western U.S. team; 2017 Chair Robert J. Lewandowski, MD, FSIR, leads the International squad; 2018 Chair Brian Funaki, MD, FSIR, heads the Trainee team; and Constantino Peña, MD, FSIR, leads the Eastern U.S. group.
Using their mobile devices to answer questions, audience members will they will get instant feedback and see how they do against their peers.
This year’s Film Panel moderators include Rakesh C. Navuluri, MD, The University of Chicago; Steven M. Zangan, MD, University of Chicago; and Kush R. Desai, MD, Northwestern University.
Tuesday’s plenary also includes recognition of the JVIR paper award winners. See sirtoday.org after the annual meeting for a list of those honored.
Wednesday plenary examines power of big data, AI
Wednesday’s plenary session, “Big data, Watson, and why your diagnostic colleagues may not have jobs in 10 years” will focus on the impact of machine learning and artificial intelligence (AI) on medicine.
The three presenters for come from the Stanford University School of Medicine and Stanford University Medical Center. Session co-coordinator and presenter Lawrence V. Hofmann, MD, FSIR, will talk about his experience with the company he co-founded, Grand Rounds, which collects data and uses machine learning to help patients find the right physician (read more at bit.ly/2dEYeBi).
“All doctors get called by friends and family for references to a good breast oncologist or cardiologist who works in their hospital,” Dr. Hofmann said. “By machine learning, we can provide better doctor–patient ‘matches’ all across the country, at scale.”
Rapid advancement of AI has paved the way for new computer models that can classify everyday images, crossing over into medical imaging. Matthew P. Lungren, MD, will give an overview of “machine vision” applications in diagnostic imaging, the challenges in those applications and the machine vision research taking place at Stanford.
Justin Ko, MD, MBA, medical director and chief of medical dermatology for Stanford Health Care, will discuss the application of deep learning in dermatology. Stanford has applied the technique to both general skin conditions and specific cancers.