Researchers put an advanced AI model to the test, using it to evaluate the ECG results of more than 1,000 patients. It performed quite well. 

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The Zuckerbergs have many billions to give away. They want to shower a lot of it on researchers using AI to cure diseases.

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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. 

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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.

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

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.