Paul Chang, M.D., FSIIM
Professor and Vice-Chairman of Radiology Informatics
University of Chicago School of Medicine
Chicago, IL, USA
10:00 a.m.
Friday, June 28, 2019
International Academy of Endodontics, Annual Meeting
The Scottsdale Princess Resort
Scottsdale, Arizona, USA
“Artificial Intelligence and Machine Learning in Medicine: A Reality Check"
Current and near future requirements and constraints will require medical practices to continuously improve and demonstrate the value they add to patient care and the healthcare enterprise. Merely "managing the practice" will not be sufficient; groups will be required to compete in an environment where the goal will be measurable improvements in efficiency, productivity, quality, and safety. There has been great interest (as well as fear and hype) regarding the application of deep learning and other artificial intelligence approaches to help improve the clinical value proposition. This session will attempt to provide a “reality check” on how these potentially promising technologies might be used in medicine and the significant challenges involved. Topics that will be covered include:
• How can we best apply deep learning/artificial intelligence to add “true value?”
• How do we confidently validate the performance of these technologies?
• How can our existing IT systems “feed and consume” these technologies efficiently and at scale?
• How can we best harmonize the human physician with these machine agents?
General Topics:
Artificial Intelligence, Machine Learning, Deep Learning, Informatics
Additional points:
- An introductory introduction to Artificial Intelligence and Machine Learning will be presented
- A “realistic” perspective on how deep learning and artificial intelligence can add value to healthcare will be discussed.
- The significant challenges with respect to the practical implementation of deep learning/artificial intelligence offerings to existing workflow and existing IT infrastructure will be reviewed.
Affiliations:
University of Chicago School of Medicine
About the Presenter:
Dr. Chang is Professor and Vice-Chairman of Radiology Informatics at the University of Chicago School of Medicine. He is active in numerous research and development projects related to imaging informatics as well as enterprise-wide informatics interoperability and workflow. Dr. Chang is an internationally recognized expert in the field of imaging informatics. His work in workstation design has resulted in presentation and navigation models that have been adopted by most PACS (Picture Archiving and Communication System) vendors. A novel lossless wavelet-based image distribution mechanism, dynamic transfer syntax (DTS), was co-invented by Dr. Chang; this technology was subsequently commercialized by the creation of Stentor PACS, which was acquired by Philips Medical Systems. This PACS system is used by several hundred hospitals worldwide and is a worldwide leader in market share. Dr. Chang has served as a member of the Radiology Society of North America (RSNA) Radiology Informatics Committee (RIC) and American College of Radiology (ACR) Informatics Committee as well as serving as informatics consultant to the RSNA. He has served as course director and/or faculty for over 300 courses for the RSNA, ACR, and for the Society for Imaging Informatics in Medicine (SIIM) in radiology informatics. In 2005, he was inducted as a Fellow to the College of the Society for Computer Applications in Radiology (SCAR/SIIM), the leading health care professional association representing informatics research. In 2016, Dr. Chang was awarded the Gold Medal by the RSNA “for having revolutionized the practice of radiology through his expertise in the field of imaging informatics.”