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.
Dave Walker, senior director of revenue cycle, Radiology Associates of North Texas, explains how his practice uses artificial intelligence for revenue cycle management during the Radiology Business Management Association (RBMA) 2024 meeting.
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.
An AI-championing health-tech company whose name sounds like that of a consumer group has announced a formal partnership with the Big Tech corporation behind the AI-pioneering Watson technology.
Stopping scams before they’re perpetrated, cutting illicit payments and reducing hours spent by staff on such cases are three of the top benefits administrators believe artificial intelligence could deliver to their operations.
An MIT AI reporter considers the COVID-countering volunteerism of, among others, the founder of a machine-learning startup. He entered the fray when he saw that his parents weren’t getting it about the need to practice social distancing.
A physician working from home during the COVID-19 crisis may offer cybercriminals a tantalizing target. Taking note of the heightened threat, the AMA and AHA have put together guidance to help foil would-be offenders.
Dave Walker, senior director of revenue cycle, Radiology Associates of North Texas, explains how his practice uses artificial intelligence for revenue cycle management during the Radiology Business Management Association (RBMA) 2024 meeting.
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.
