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Educational Course
ISMRM-SMRT Joint Forum: AI in Radiology: Man vs Machine |
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ISMRM-SMRT Joint Forum: AI in Radiology: Man vs. Machine
Weekday Course
ORGANIZERS: John Port, Martin Sherriff
Monday, 18 June 2018
| N01 |
08:15 - 10:15 |
Moderators: James Stuppino, John Port |
Session Number: M-02
Overview
Implementing Artificial Intelligence (AI) & Machine Learning (ML) into daily Radiology practice is a contentious issue. The impact to Radiologists, Radiographers/Technologists and less so Scientists is presently unknown. The aim of the forum is to discuss and debate how the interaction between man & MR machine will potentially affect their current and future job roles.
Target Audience
Radiologists and Radiographer/Technologists will benefit most from this forum, learning the potential future impact of AI to their current job roles. Scientists will also benefit, as AI and machine learning will have implications for image analysis.
Educational Objectives
As a result of attending this course, participants should be able to:
-Summarize how AI & ML will impact Radiology, both today and tomorrow;
-Discuss the differences between Algorithms and Humarithms; and
-Speculate on how to prepare for the interaction of AI/ML and humans, specifically, preserving value for current employees.
08:15
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 The Bright Future of AI/ML in Radiology
Bradley Erickson
Artificial intelligence will result in substantial changes in the way that radiology and medicine are practiced. Portions of diagnosis and therapeutics that have a clear pattern are likely to be replaced, augmented, or improved with computer technologies. This will also happen more broadly in all of the world. We must be prepared for these changes, and with proper involvement, we can use this technology to improve everyone's lives.
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08:45
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MR Tech View: Will AI/ML Put My Job at Risk?
Vera Kimbrell
MR Technology and our mother modality Radiology are on the brink of significant change. Computer programming and hardware exist to automat many functions once done by technologists or physicians. We are grudging moving forward to embrace these improvements. Somewhat untrusting and with great trepidation we struggle to balance faster exam times, greater ancillary tasks and new technology. We must carefully but quickly earn these new skills and build new workflows in our departments. MR Technologists are very resilient and with proper education and support can make this new world a better one for our patients and ourselves.
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09:15
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Radiologist View: Will AI/ML Put My Job at Risk?
Konstantin Nikolaou
The routine use of Artificial Intelligence (AI) in medicine and in medical imaging will become reality, thatīs a fact. This is true not only for radiology, but for all medical professions. The question is, how fast this may happen, for which indications and clinical scenarios, and how this will be implemented in our routine workflows. Indeed, implementation and use of AI in radiology is even beneficial and wanted, given the exponentially rising demand of diagnostic imaging and radiological procedures. But will AI replace our profession? Will we have to stop training radiologists? Radiology is always changing and has always been developing alongside new technologies. Therefore, AI will not replace our profession, but it will change our work and it will make us have to train even more. There are a number of reasons why diagnostic radiology has a bright future, implementing AI and ML.
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09:45
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Panel Discussion |
10:15
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Adjournment & Meet the Teachers |
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| Back |
| The International Society for Magnetic Resonance in Medicine is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians. |
