All around the world, people are increasingly wise to the advance of AI. More than a few are growing ever more uneasy about it. And yet workers equipped with AI are both more productive and better at their jobs.
More than two-thirds of U.S. physicians have changed their minds about generative AI over the past year. In doing so, the re-thinkers have raised their level of trust in the technology to help improve healthcare.
Key collaborators across the healthcare AI life cycle now have a common set of principles to which they can hold each other. And that means everyone from developers and researchers to providers, regulators and even patients.
An independent heart team blinded to ICA results was able to deliver helpful guidance for CABG procedures for 99.1% of patients using just CCTA and FFRCT alone. This approach is safe and feasible, researchers wrote, and the next step is to gather additional data.
As AI continues infiltrating healthcare at nearly every level, the technology’s potential for good and ill must become—or remain—a preeminent concern for hospital boards of trustees.
It’s not easy to get patients, providers, payers, vendors and regulators to agree on any one aspect of healthcare delivery. But the CDRH recently managed to get everyone to settle on a working definition of transparency.
An independent heart team blinded to ICA results was able to deliver helpful guidance for CABG procedures for 99.1% of patients using just CCTA and FFRCT alone. This approach is safe and feasible, researchers wrote, and the next step is to gather additional data.
A new scientific statement from the American Heart Association explores the many ways AI and machine learning are being used to improve care for heart patients.
