- Los Angeles-based Smidt Heart Institute at Cedars-Sinai found that artificial intelligence can detect an abnormal heart rhythm in people not yet showing symptoms.
- New York City-based Mount Sinai researchers developed an artificial intelligence model that interprets electrocardiogram as language.
- East Lansing-based Michigan State University is one of 20 global sites using artificial intelligence to generate a “real-time” image of the patient’s body with X-rays during surgery.
- Pittsburgh-based UPMC developed a “digital twinning” model that allows physicians to create a digital “patient” with the same characteristics as their real patient and adjust treatments to see potential outcomes or side effects.
At the Becker's 11th Annual IT + Revenue Cycle Conference: The Future of AI & Digital Health, taking place September 14–17 in Chicago, healthcare executives and digital leaders from across the country will come together to explore how AI, interoperability, cybersecurity, and revenue cycle innovation are transforming care delivery, strengthening financial performance, and driving the next era of digital health. Apply for complimentary registration now.
