3 ways AI is revolutionizing how health organizations serve patients. Can LLMs like ChatGPT help?

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The digitization of health care has been a long time coming, with the practice of healing tied, for obvious reasons, to older, carefully vetted ways of doing things. 

But increasingly, artificial intelligence in various forms is creeping into the clinic. Applications include in predictive analytics, smart prostheses, mobile diagnostics, and brain implants. Plus, with the emergence of large language models (LLMs) like ChatGPT, we explore whether that technology can assist in health care today. 

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"Deep learning AI has finally gotten through this process of the technical infrastructure being in place, and the data being available to train it, after years of really hard work," said Jeremy Howard, co-founder of the AI research and education startup Fast.ai, and founder of the first company to apply deep learning to medicine, Enlitic.

After all that effort, "You should expect to see a hell of a lot more of it in the coming years," meaning, applied AI in medicine, said Howard in an interview with ZDNET.

Right now, the state of the art in applying AI to medicine consists of small-scale studies that employ a variety of very well-established machine learning forms of AI. Those programs have proven their worth over decades. They are finally being taken into the clinic and being applied to a variety of data, from real-time brain activity readings to electronic health records.

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