The robots are coming for health care, just like they are for virtually everything else. But in this very narrow instance, at least, that may actually be a good thing. In the spirit of a week ...
The team utilized machine learning to analyze public data from the National Health and Nutrition Examination Survey.
Big data, machine learning, and interoperability are all topics we’ve been hearing about for many years in health tech. But in fact these banner ideas are deeply intertwined with one another. Machine ...
For years, leaders in the health and tech industries have hypothesized how AI can transform the healthcare experience. While there has been some progress in clinical applications – for example, ...
Increasing surgical services revenue is a top priority for most health systems, but reliance on manual operating room scheduling and operational inefficiencies can impede these efforts. Often, poor ...
Stanford Health Care is stepping up its partnership with startup Atropos Health to integrate real-world evidence into physicians' workflow and clinical notes. The pilot project builds on the two ...
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Why machine learning is central to public policy

In 1854, London was struck by a devastating cholera outbreak. Public authorities responded using the best tools and scientific understanding available at the time.Disease was widely believed to spread ...
Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...