Advancing Healthcare through Robotics and Machine Learning

One of the biggest dangers for trauma patients during the ambulance ride is undiagnosed, internal hemorrhagic bleeding. It’s currently undetectable with methods available on the ambulance ride. You can’t see it … but a robot can.

Axel Krieger—an assistant professor of mechanical engineering at the University of Maryland’s A. James Clark School of Engineering who specializes in medical robotics and computer vision—says that estimates suggest one-third of trauma fatalities likely would have survived if they had access to hospital-level of care sooner. He aims to help make that level of care standard on the way to the hospital by equipping ambulances with a medical robot enhanced by machine learning.

Watch the video above to learn more.

Dr. Krieger is a member of the Maryland Robotics Center.

Are you are a member of the media interested in connecting with a robotics engineer at the University of Maryland? Please email: clark-communications@umd.edu 

Related Articles:
UMD Awarded $4.6 Million Rehabilitation Engineering Research Center
Helping robots remember
How tech can fill gaps in mental health care
UMD, UMBC, ARL Announce Cooperative Agreement to Accelerate AI, Autonomy in Complex Environments
‘Tight’ cultures had fewer cases, deaths from COVID-19, new Gelfand research shows
Maryland engineers receive $10M to transform shellfish farming
UMD Transplant Organ Flight Named Invention of the Year
Envisioning the Future of Urban Transportation
4D Bioprinting Smart Constructs for the Heart
UMD Researchers Develop Technique to Advance Cell-Based Systems

September 17, 2019