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Wearable health gadgets equipped with AI present myriad opportunities and challenges to healthcare consumers and the healthcare professionals who diagnose, treat and track them.
Healthcare AI agents can be classified as one of four models. In increasing order of autonomy and clinical integration, these are: foundation, assistant, partner and pioneer.
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.
Wearable health gadgets equipped with AI present myriad opportunities and challenges to healthcare consumers and the healthcare professionals who diagnose, treat and track them.
Healthcare AI agents can be classified as one of four models. In increasing order of autonomy and clinical integration, these are: foundation, assistant, partner and pioneer.
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.
It’s no surprise Trump Administration II is taking a laissez-faire stance toward AI regulation. After all, the winning candidate campaigned pretty hard on scaling back allregulation.
U.S. health systems are increasingly leveraging digital health to conduct their operations, but how health systems are using digital health in their strategies can vary widely.
When human counselors are unavailable to provide work-based wellness coaching, robots can substitute—as long as the workers are comfortable with emerging technologies and the machines aren’t overly humanlike.
A vendor that supplies EHR software to public health agencies is partnering with a health-tech startup in the cloud-communications space to equip state and local governments for managing their response to the COVID-19 crisis.
