AI is rapidly reshaping healthcare, from accelerating drug discovery and improving diagnostics to reducing administrative burdens and enhancing patient care. Experts see it as a major shift, with medical schools adapting training and physicians using AI to streamline tasks. While challenges like bias and data privacy remain, AI’s role in medicine is growing fast and fundamentally changing the field, according to Bloomberg. They write:
When ChatGPT entered the conversation a few years ago, Lloyd B. Minor, a surgeon and the dean of the Stanford School of Medicine, sought to test its ability by asking it about a rare inner ear condition called superior canal dehiscence syndrome. Minor had personally discovered the syndrome, wrote the first paper on it, and developed a surgical procedure to fix it, naturally making him an expert on the subject. The response, he says, was not only concise, accurate, and logical, but as good as anything he could have written.
“The way it assimilated the information and presented it was really quite remarkable. And that’s when I realized this is not just an incremental advance. [Large language models] are going to fundamentally change the way we access, learn, and embrace knowledge … and I think this is a fundamental shift for medicine,” Minor says.
It’s a sentiment felt widely across the medical field as AI starts to touch nearly every corner of medical research, physician training and processes, and patient care. The rollout of AI across health care is not without challenges, but in some cases, the impact is already being realized. […]
“I think we’re moving cautiously, and I think the caution is ideal,” says Glover. “But absolutely, the way that patients seek, reach, and receive care will be impacted by AI. It’s happening. It’s here.”
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