Not long ago, physicians and grocery clerks had a key duty in common: ‘connective labor.’  Today barcode reading machines sweep you through the checkout. And AI can handle most of your health questions. 

Clinicians who come to rely on AI for decision support risk the dulling of their skills. The concern is not new. But now comes a pointed call to researchers: Inquire about the particulars of the peril.

With patients gaining access to imaging reports earlier than ever, it's critical they have access to large language models that can accurately summarize the results. 

New data on the RDN systems from Recor Medical and Medtronic confirmed that this relatively new technology brings long-term relief to patients with uncontrolled hypertension. 

Shockwave Medical and FastWave Medical have shared new first-in-human data on their advanced IVL offerings. Both companies are focused on addressing difficult-to-cross lesions that often cause problems for cardiologists.

What do you get when you fall in love with AI in healthcare? A guy with a pin to burst your bubble. 

Tim Andrews, 67, is still alive and is back on the waiting list for a human donor. However, the success of his highly experimental procedure means more patients are scheduled to get genetically modified animal organs.

Just because it’s efficient doesn’t mean it’s effective. Nowhere is this thought more deserving of reflection than in healthcare AI—especially when it’s applied to clinical decision support.