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VISE Guest Seminar: Computational Modeling and Enhancement of Human Skill: A Step Towards Surgery as a Data Science. Thursday Nov 12th, 12:00. SC 5326, Refreshments provided at 11:50.

Posted by on Monday, November 2, 2015 in News.

Title:
Computational Modeling and Enhancement of Human Skill: A Step Toward Surgery as a Data Science

Guest Speaker:
Gregory D. Hager, PhD
Mandell Bellmore Professor of Computer Science
Computational Interaction and Robotics Laboratory
Department of Computer Science
Johns Hopkins University

Date: Thursday, November 12th
Time: noon-1pm
Place: Stevenson Center 5326

Abstract: We are entering an era where people will interact with smart machines to enhance the physical aspects of their lives, just as smart mobile devices have revolutionized how we access and use information. Nowhere is this more true than medicine: robots already provide surgeons with physical enhancements that improve their ability to cure disease, new imaging and sensing systems promise to provide more and, more nuanced, data on patients, and mobile devices are already are making their way into many aspects of medical practice.  In this talk, I will describe our work on surgical skill assessment and enhancement to frame some of the broader science, technology, and commercial trends that are converging to fuel progress on human-machine collaborative enhancements in medicine. I will describe how technologies like surgical robots can be used to observe surgeons “at work” and to define a “language of surgery” from data, mirroring the statistical revolution in speech processing. I will show our latest results of using these models to recognize, assess, and intelligently augment surgeons’ capabilities.  I will close with a few thoughts about how this could lead toward a more rigorous study of surgery as a data science.
hager
Speaker Bio: Gregory D. Hager is the Mandell Bellmore Professor of Computer Science at Johns Hopkins University. His research interests include collaborative and vision-based robotics, time-series analysis of image data, and medical applications of image analysis and robotics.  He has published over 300 articles and books in these areas. Professor Hager is also Chair of the Computing Community Consortium, a board member of the Computing Research Association, and is currently a member of the governing board of the International Federation of Robotics Research. In 2014, he was awarded a Hans Fischer Fellowship in the Institute of Advanced Study of the Technical University of Munich where he also holds an appointment in Computer Science.  He is a fellow of the IEEE  and of the MICCAI society, and has served on the editorial boards of IEEE TRO, IEEE PAMI, and IJCV. Professor Hager received his BA in Mathematics and Computer Science Summa Cum Laude at Luther College (1983), and his MS (1986) and PhD (1988) from the University of Pennsylvania. He was a Fulbright Fellow at the University of Karlsruhe, and was on the faculty of Yale University prior to joining Johns Hopkins. He is founding CEO of Clear Guide Medical.

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