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In healthcare, predictive models need to be more than good predictors. Stanford scholars suggest a framework for determining a model’s worth.
In healthcare, predictive models need to be more than good predictors. Stanford scholars suggest a framework for determining a model’s worth.


A Stanford researcher questions the need for generalizable models and proposes instead sharing recipes for creating useful local models.
A Stanford researcher questions the need for generalizable models and proposes instead sharing recipes for creating useful local models.

“The beauty of what we’re doing at these interdisciplinary AI intersections is that we’re really building things that haven’t existed before,” says the Shriram Faculty Fellow.
“The beauty of what we’re doing at these interdisciplinary AI intersections is that we’re really building things that haven’t existed before,” says the Shriram Faculty Fellow.

Hundreds of millions of people use social media in the U.S. A computational social scientist explains how to harness the technology to measure mental and physical well-being.
Hundreds of millions of people use social media in the U.S. A computational social scientist explains how to harness the technology to measure mental and physical well-being.


Early, definitive detection of autism in patients could lead to timelier interventions and better outcomes.
Early, definitive detection of autism in patients could lead to timelier interventions and better outcomes.


A multidisciplinary team examines the burgeoning field of AI medical diagnostics and says that AI’s analytical powers must incorporate patients’ values and doctors’ insights.
A multidisciplinary team examines the burgeoning field of AI medical diagnostics and says that AI’s analytical powers must incorporate patients’ values and doctors’ insights.
