RadNet Chaiman and CEO Howard Berger, MD, explains why the company has invested tens of millions into DeepHealth to rapidly build up a new business model.
The largest healthcare system in the Middle East is partnering with Nvidia to decode the human genome. If successful, the AI-heavy project will translate almost the entire language of heredity into actionable information.
One of the AI haves feels the pain of the AI have-nots.His discomfort is especially pronounced when he thinks about how hard it must be for financial strugglers to keep up with regulations and rumors of regulations to come.
The AMA is imploring physicians to serve as ‘full partners’ with other AI stakeholders throughout the technology’s life cycle in relevantly equipped clinical devices.
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.
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.
RadNet Chaiman and CEO Howard Berger, MD, explains why the company has invested tens of millions into DeepHealth to rapidly build up a new business model.
The largest healthcare system in the Middle East is partnering with Nvidia to decode the human genome. If successful, the AI-heavy project will translate almost the entire language of heredity into actionable information.
