The University of Texas at San Antonio’s MATRIX AI Consortium received $1 million to develop artificial intelligence for improving trauma care decision-making.
A severely injured person’s survival often depends greatly on how quickly first responders can deliver them to appropriate medical care and the decisions they make while getting there. Researchers at the University of Texas at San Antonio are exploring how artificial intelligence can help.
and one of the project’s eight primary investigators. They want “to be able to identify … the points of delay and to mitigate those delays so that people within the state of Texas have the fastest and most effective trauma care that could be,” she said Friday.
’s team is collaborating with researchers at UT Health San Antonio and UT Tyler on the project, which is scheduled to run for 16 months, concluding in July 2025. The group is hiring AI engineers to help with coding as they develop the database and tools. The tools, Qutub said, won’t take people out of the loop. Instead, the AI will help caregivers by providing knowledge and a prediction with its recommended course of action.
MATRIX AI Consortium University Of Texas MATRIX AI Consortium AI UT Tyler $2.6B Food And Drug Administration Amina Qutub Alan Cook Brian Eastridge Mark Goldberg Joe Houpt Chris Rathbone Texas UT Health San Antonio Iremedyact $4M Dhireesha Kudithipudi
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