What ChatGPT has changed
It’s passed medical licensing exams. It’s advanced how researchers develop new medicines and cut down on doctors’ hefty paperwork. And it’s nudged health care closer to a world where AI can offer diagnoses.
Why it matters: One year after OpenAI’s ChatGPT exploded onto the scene, the generative AI model is already upending health care — an industry not exactly known for its speedy adoption of tech — while accelerating questions about AI’s promises and limitations, Tina writes.
The big picture: ChatGPT and other generative AI models that quickly followed have supercharged the use of AI and algorithms across research and the delivery of care.
- Among other applications, tech giants have been finding ways to use the algorithms to better target cancer. AI is also helping doctors sift through the latest research.
- “All these things that are happening now [are] because the race to get to AI faster, quicker and to create the market share began with ChatGPT,” said Shafiq Rab, system CIO and chief digital officer at Tufts Medicine.
- “We’re in the ‘wow’ period,” Stanford’s School of Medicine dean Lloyd Minor told Axios at a health tech event earlier this fall.
- He and other experts predicted that the unprecedented hype around how AI may change health care will begin to quiet down over the next few months as the industry races to get a better handle on what the technology can and can’t do.
- “It’s powerful. But I think you know, the hype right now is, is probably a little more than reality,” Headspace CEO Russ Glass told Axios earlier this fall.
Yes, but: There’s also been quite a bit of hand-wringing about AI chatbots’ potential to churn out harmful misinformation, amplify bias and undermine medical education.
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