Jason Corso
Professor of Robotics and Professor of Electrical Engineering and Computer Science, College of Engineering, University of Michigan
Dr. Jason Corso is Professor of Electrical Engineering and Computer Science and Robotics at the University of Michigan and Co-Founder / CSO of the AI startup Voxel51. He received his PhD and MSE degrees at The Johns Hopkins University in 2005 and 2002, respectively, and the BS Degree with honors from Loyola College In Maryland in 2000, all in Computer Science. He is the recipient of a U Michigan EECS Outstanding Achievement Award 2018, Google Faculty Research Award 2015, the Army Research Office Young Investigator Award 2010, National Science Foundation CAREER award 2009, SUNY Buffalo Young Investigator Award 2011, a member of the 2009 DARPA Computer Science Study Group, and a recipient of the Link Foundation Fellowship in Advanced Simulation and Training 2003. Corso has authored more than 150 peer-reviewed papers and hundreds of thousands of lines of open-source code on topics of his interest including computer vision, robotics, data science, and general computing. He is a member of the AAAI, ACM, MAA and a senior member of the IEEE.
Abstract
“Hey Siri, Can you measure my left ventricle ejection fraction?” Despite having full control over the zeitgeist, Artificial Intelligence (AI) has yet to live up to its promise in many fields. Medicine, in particular, has significant upside potential with AI—with hospitals closing, a shortage of physicians and other medical professionals, and an instrinsically difficult domain, AI has a unique opportunity to upskill practice, bringing better care and better training to everyone. This talk will explore the problem, potential value, and early methods in upskilling medical practitioners along two axes. First, I will describe how visual AI methods are already impacting the cardiothoracic surgical domain via technical and non-technical assessment for more objective training and review. Second, I will describe how interactive, physically-grounded AI guidance can upskill medical practitioners and bring state of the art care into rural settings, which are among the most challenging settings for healthcare delivery. Ultimately, this talk will provide concrete evidence of the potential AI has in upskilling medical practice.
Parking/Accessibility
The closest public parking garage to the Samuel T. Dana building is the Forest Ave. Parking Garage located at 650 S Forest Ave, Ann Arbor, MI 48104.
Forest Ave. Parking Garage located at 650 S Forest Ave, Ann Arbor, MI 48104.
For guidance on directions, U-M faculty/staff parking, and accessibility, please visit: https://maps.studentlife.umich.edu/building/samuel-trask-dana-building
This series is co-sponsored by
Please reach out to Ben Surgalski ([email protected]) with any questions.