Wasn’t radiology the fastest medical specialty to embrace and adopt AI? And yet burnout continues to afflict many if not most radiologists. 

The recall was put in place after a customer discovered “visible black particulate matter” in a sealed vial. If the contaminant enters a patient's blood vessels, it could lead to serious complications, including a stroke or even death. 

Generative AI has a bright future in medical education. That goes not only for medical schools but also for postgraduate settings in which residents and fellows do most of their learning while also caring for patients.

Given the precarious excitement of the moment—or is it exciting precarity?—policymakers and healthcare leaders must set directives guiding not only what to do with AI but also when to do it. 

Integrating AI into the electronic medical record can make patient data more usable and dependable for end-users, according to a review of the relevant scientific literature published this month in the American Journal of Clinical and Medical Research.

When appropriately applied in critical care settings, AI can deliver considerable value to clinical staff, hospital management and local communities. In the process the technology may help resolve persistent staffing shortages.

Maquet Cardiovascular, a subsidiary of Getinge, is recalling two of its endoscopic vessel harvesting devices due to issues with different pieces bending, peeling or detaching during use. Some of the company's other EVH devices were recently involved in a separate recall for similar reasons. 

CMS is accepting public comments on the topic for a period of 30 days. Recor Medical and Medtronic have both shared statements in support of the potential policy shift.