Medical Xpress September 7, 2021
Researchers at Duke University and the University of Pittsburgh have developed a platform that allows multiple hospitals and research centers to share private patient data securely to better train machine learning models. The technology could provide single institutions access to advanced predictive tools they could never develop on their own to both advance research and improve patient outcomes.
Called “LEARNER,” researchers summarized the platform’s development at the National Science Foundation’s Convergence Accelerator Expo 2021, an event that shares the program’s research portfolio in an exhibition format, like a big science fair.
“AI has incredible potential to improve health data analysis and diagnosis, but it requires a vast amount of data to reach a standard that is acceptable to use in...
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