Under the mentorship of Ph.D. student Venkatesh Sivaraman, Ziyong Ma spent the summer developing a tool designed to help clinicians query medical databases without needing programming expertise.
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
News-Medical.Net on MSN
AI trained on sleep data predicts future disease and mortality years in advance
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
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