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Among the myriad processes to which AI could be meaningfully applied in healthcare, perhaps few are more easily overlooked than discharging patients from the hospital.
Wearable health gadgets equipped with AI present myriad opportunities and challenges to healthcare consumers and the healthcare professionals who diagnose, treat and track them.
The FDA shared a warning about these safety issues in February, but said it was still reviewing the evidence. The agency is now saying the devices “may cause serious injury or death” if used without following the updated instructions for use.
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.
Among the myriad processes to which AI could be meaningfully applied in healthcare, perhaps few are more easily overlooked than discharging patients from the hospital.
Wearable health gadgets equipped with AI present myriad opportunities and challenges to healthcare consumers and the healthcare professionals who diagnose, treat and track them.
The FDA shared a warning about these safety issues in February, but said it was still reviewing the evidence. The agency is now saying the devices “may cause serious injury or death” if used without following the updated instructions for use.
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.
The American College of Cardiology has sent a letter to HHS Secretary Robert F. Kennedy Jr. that outlines some of the organization’s central priorities and concerns.
If the Trump administration continues taking a laissez-faire stance toward AI—including AI used in healthcare—why not let the states go it alone on regulating the technology?