The National Institutes of Health April 3 released a study that found an artificial intelligence screening tool was as effective as health care providers in identifying hospitalized adults at risk for opioid use disorder and referring them to inpatient addiction specialists. When compared with patients who received consultations with providers, patients screened by AI had 47% lower odds of hospital readmission within 30 days after their initial discharge, saving nearly $109,000 in care costs. 
 

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Corey Casper, M.D., senior vice president and chief research officer at Banner Health, and professor of clinical translational science at the University of…
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In this conversation, John Riggi, AHA national advisor for cybersecurity and risk, and Scott Gee, AHA deputy national advisor for cybersecurity and risk, break…
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The AHA has released a fact sheet explaining how artificial intelligence tools help alleviate administrative burden for providers, particularly in areas such…
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The AHA’s Hospital Capacity Management Consortium will host a webinar Sept. 9 at 1 p.m. ET for capacity management and operations leaders, exploring how…
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The Food and Drug Administration is seeking public feedback on a discussion paper released today on potential regulatory approaches for generative artificial…
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The AHA Aug. 13 responded to a Food and Drug Administration request for input on the risks and benefits to health and safety associated with non-device…