AI has a long way to go before it meaningfully closes disparities in healthcare access and delivery. In fact, even when aimed at that goal, the technology can backfire.
Elon Musk and President Donald Trump’s mass firings have been temporarily halted by a restraining order, resulting in 18 federal agencies being ordered to rehire over 24,000 workers.
AI has already made a massive impact on healthcare, especially in the fields of cardiology and radiology. With the FDA clearing more and more algorithms, this trend is only expected to grow as time goes on.
A hospital in California received a physical letter in the mail stating its data had been compromised, only to discover the claim was part of a nationwide "social engineering scam."
“Clear signs of an aortic dissection” were missed in the patient's imaging findings after he presented to the emergency room, according to the lawsuit. He was diagnosed with acute pericarditis at the time and sent home—and then died four days later.
A study by researchers at Brown University and Duke University analyzed the employment records of 200 practices acquired by private equity firms and compared them with unacquired practices to develop some observations.
Howard Herrmann, MD, MSCAI, Hospital of the University of Pennsylvania, and lead invesigator for the SMART trial, explains details on the 2-year data comparing the Evolut vs. Sapien 3 for TAVR in small annulus patients.
If the Trump administration continues taking a laissez-faire stance toward AI—including AI used in healthcare—why not let the states go it alone on regulating the technology?
