Artificial Intelligence & health: Duke AI Health builds better guardrails for algorithmic medicine

In addition to Duke AI Health, CHAI’s growing list of partners includes Stanford University, UC San Francisco, Johns Hopkins University, UC Berkeley, the Mayo Clinic, MITRE Health, Change Healthcare, Microsoft Corporation, SAS, and Google, among others. Observers from the US Food and Drug Administration, which exercises regulatory oversight of health AI applications that meet certain criteria, and from the National Institutes of Health and the Office of the National Coordinator for Health Information Technology, were also present at recent CHAI meetings.

As work by CHAI and its partners continues, complementary efforts are also underway at the federal level, with the FDA’s publication of a final guidance concerning clinical decision support software and a Blueprint for an AI Bill of Rights published by the White House Office of Science and Technology Policy.

“We are at a genuinely exciting moment in health AI. There’s just an enormous potential for everyone – patients, clinicians, and health systems–to benefit from these capabilities,” notes Pencina. “But,” he adds, “we need to make sure that everyone gets to share in those benefits, and the key to doing so is to ensure that the tools we create deliver meaningful improvements for patient care.”

(C) Duke University

Note: This story was originally published at: https://aihealth.duke.edu/building-better-guardrails-for-algorithmic-medicine/