Generative AI tools like ChatGPT and DeepSeek are now easily accessible to both clinicians and patients. In last month’s newsletter, I invited readers to try these tools for themselves. Whether you participated or not, I’m eager to learn how you view generative AI as a medical tool. Please take a moment to share your thoughts.
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Dr. Robert Pearl is the former CEO of The Permanente Medical Group, the nation’s largest physician group. He’s a Forbes contributor, bestselling author, Stanford University professor, and host of two healthcare podcasts. Check out Pearl’s newest book, ChatGPT, MD: How AI-Empowered Patients & Doctors Can Take Back Control of American Medicine with all profits going to Doctors Without Borders.
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Dr. Robert Pearl’s article on generative AI in healthcare offers a compelling vision for transforming patient care. He highlights AI’s potential to enhance diagnostic accuracy, reduce medical errors, and empower patients with personalized insights. While optimistic, he also addresses challenges such as data privacy, algorithmic bias, and the need for clinician oversight. Pearl’s balanced perspective underscores AI’s promise in augmenting, rather than replacing, human expertise in medicine. His insights are timely and thought-provoking for healthcare professionals and patients alike.
I have come to the realization that the human body is highly complex and varies a lot from person to person, making it hard for any clinician to diagnose accurately all the time. The many books written on this subject including some of your books have led me to this notion.
AI enabled diagnostic tools available to the patients, will help speed up the diagnosis. I believe I know my body well and I can parse through the information given by the AI tools and can then consult with the clinician to firm up the diagnosis.
With the looming shortage of physicians and the wait time involved in getting appointments, “Diagnose Globally and Treat Locally” may be the future of medical care in America, sort of an inverse of the call center model used in other customer service industries.