Nvidia’s AI Bot Outperforms Nurses: Here’s What It Means For You

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Nvidia’s AI Bot Outperforms Nurses: Here’s What It Means For You
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I’m passionate about transforming the American healthcare system and helping people understand the consequences of their medical decisions. I previously served as CEO of The Permanente Medical Group, the largest medical group in the nation, and as president of the Mid-Atlantic Permanente Medical Group.

Soon after Apple released the original iPhone, my father, an unlikely early adopter, purchased one. His plan? “I’ll keep it in the trunk for emergencies,” he told me.

Generative AI is on a similar trajectory. While industries are investing billions in this technology to streamline processes, enhance operations and expedite R&D, even those well-versed in its capabilities find themselves stunned by AI’s breakneck progress. I count myself among them.—I envisioned it becoming a hub of medical expertise for doctors and patients within the next five years .

Experts project that AI’s computational progress will double roughly every year, if not faster. But even with conservative projections, ChatGPT and similar AI tools are poised to be 32 times more powerful in five years and over 1,000 times more powerful in a decade. That’s equivalent to your bicycle traveling as fast as a car and then, shortly after, a rocket ship.

In contrast, generative AI leverages a broader and more useful array of information sources. It not only pulls from published, peer-reviewed medical journals and textbooks but also will be able to integrate real-time information from global health databases, ongoing clinical trials, and medical conferences. It will soon incorporate continuous feedback loops from actual patient outcomes and clinician input.

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