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Asking medical questions of AI with language spoken “in the wild”—meaning with LLM prompts from everyday consumers—brings back answers with decidedly mediocre accuracy, a new study shows.
A team of healthcare scholars is making U.S. states an offer they hope the border-defined polities won’t refuse: If you’ll pay for the reinvention of primary care, we’ll help sell the public on the rightness of measured, state-level efforts to preserve the profession.
Teladoc, the popular telehealth platform, will provide urgent care, dermatology and nutrition support through Walmart’s existing virtual patient care platform. The companies made the announcement Thursday.
As a class-action lawsuit gets rolling in California over the use of ambient AI in healthcare, a national law firm is drawing takeaways for hospitals and other provider organizations. Makes sense: All AI-equipped providers are potential targets for similar litigation now.
Patient names, addresses, social security numbers and even medical histories were exposed as a result of the attack, which went unnoticed for more than two months.
If healthcare AI is to flourish outside of academic research settings and industry R&D departments, it will need to win over its most difficult-to-impress audience: healthcare workers in hospitals.
It stands to reason that the branch of healthcare most reliant on the use of language in clinical practice would embrace large language AI. But is U.S. mental healthcare on board with the notion?