A team of researchers led by principal investigator My T. Thai, Ph.D., a professor in the UF Department of Computer & Information Science & Engineering, will explore ways to increase trustworthiness and interpretability of artificial machine learning in healthcare under a new $1.2 million grant from the National Science Foundation.
“While AI research is making amazing strides toward enhancing healthcare systems, it can only make a real impact in medicine if the AI system is trustworthy and explainable,” said co-principal investigator Ruogu Fang, Ph.D., an assistant professor in UF’s J. Crayton Pruitt Family Department of Biomedical Engineering.
The team will also investigate ways to use AI to diagnose neurodegenerative diseases earlier.
“Neurodegenerative diseases impact millions of people in the U.S. and as our population continues to live longer, the prevalence of these disorders is expected to double over the next decade. There is an imperative need for early and accurate diagnosis of these disorders for the development of disease-modifying therapies,” said co-principal investigator Adolfo Ramirez-Zamora, M.D., an associate professor in the UF Department of Neurology. “The use of AI and advanced algorithms represent a great opportunity to work toward this goal and our team at the Norman Fixel Institute is uniquely positioned to help develop and utilize this type of technology.”
UF is partnering with Carnegie Mellon University on the project.