About this event
Despite the remarkable advances in the development of AI for healthcare, the implementation of AI into clinical practice has lagged. Among medical specialties, radiology has seen intense scientific and commercial growth in AI: of the 1000+ AI systems cleared for clinical use by the FDA, more than 760 are in radiology. Relatively few systems, however, are in routine clinical use.
In this presentation, Charles E. Kahn Jr., MD, – a practicing radiologist, AI researcher and editor of a leading scientific AI journal – will address the challenges and considerations for implementing AI systems into clinical practice, using radiology as an example. He will also outline processes for evaluating clinical AI systems and strategies for monitoring them after implementation.
Who can attend
Registration is limited to ISMIE and SEMPIC policyholders, and their employed staff.
Learning objectives
At the conclusion of this learning activity, participants will be able to:
- Summarize a framework to employ AI into your clinical practice
- Outline a strategy to implement and monitor AI
- Identify key questions to ask of commercial AI developers
About the presenter
Charles E. Kahn Jr., MD, MS, is professor and vice chair of radiology at the University of Pennsylvania, a post he has held since 2014. Before joining Penn, he served on the faculty of the University of Chicago and the Medical College of Wisconsin. He is a board-certified, practicing radiologist with expertise in body CT and ultrasound.
Dr. Kahn holds a BA in Mathematics and an MS in Computer Sciences, both from the University of Wisconsin, as well as an MD from the University of Illinois. He completed radiology residency at the University of Chicago, where he served as chief resident. His professional interests include artificial intelligence, health services research, knowledge representation, and information standards.
Honors include the Gold Medal of the American Roentgen Ray Society (ARRS) and Honorary Membership of the Italian Society of Medical Radiology (SIRM), the European Society of Medical Imaging Informatics (EuSoMII), and the Korean Society of Radiology (KSR). Dr. Kahn is an elected Fellow of the American College of Radiology, the American College of Medical Informatics, and the Society for Imaging Informatics in Medicine. He has created several internationally known information systems, authored more than 180 scientific articles, and given more than 200 invited lectures. He currently serves as editor of the journal Radiology: Artificial Intelligence.
Accreditation
This activity has been planned and implemented in accordance with the accreditation requirements and policies of the Accreditation Council for Continuing Medical Education (ACCME) through the joint providership of the Illinois State Medical Society and ISMIE Mutual Insurance Company. The Illinois State Medical Society is accredited by the ACCME to provide continuing medical education for physicians.
Credit Designation
The Illinois State Medical Society designates this live activity for a maximum of 1 AMA PRA Category 1 CreditTM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Disclosure
The planners, faculty, and others in control of content have no relevant financial relationships with ineligible companies.
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