What the study found The study relied on electronic medical records of 45,000 children who had been seen in the Duke University Health System as infants between January 2006 and December 2020.

To improve diagnosis of rare diseases like AHP, researchers from UC San Francisco and UCLA, invented a predictive algorithm to analyze health care records and identify suspected porphyria patients.

A novel machine learning algorithm has potential to improve detection and treatment of individuals with familial ...

The algorithm was able to accurately rule out a heart attack in nearly all patients, according to the study published Thursday in Nature Medicine. The tool, tested in more than 10,000 patients in ...

Lawmakers including Senators Amy Klobuchar, Democrat of Minnesota, and Cynthia Lummis, Republican of Wyoming, later introduced bills to study or limit the algorithms. None have passed.