This digital tool may help healthcare professionals obtain safer, more reliable replies to their large language model prompts.
By John Halamka, M.D., President, Mayo Clinic Platform, and Paul Cerrato, senior research analyst and communications specialist,…
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These digital tools can do much more than finish a sentence or answer patients’ questions. To see their real potential in medicine, we need to point them in the right direction.
By John Halamka, M.D.,…
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Sonya Makhni, M.D., M.B.A., M.S., Medical Director and clinical informaticist at Mayo Clinic Platform, wrote this article
Summary:
The gap between AI promise and adoption in healthcare: This document examines why the potential of AI in healthcare…
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Bringing together data network partners, solution developers, and provider organizations produced actionable insights that will reinvent the healthcare ecosystem.
By John Halamka, M.D., President, Mayo Clinic Platform, and Paul Cerrato, senior research analyst and communications…
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Innovative solutions to stubborn medical problems can come from the most unlikely sources, including many “unexperts.”
By Paul Cerrato, senior research analyst and communications specialist, Mayo Clinic Platform and John Halamka, M.D., President, Mayo Clinic…
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AI-enabled algorithms are only as good as the data they are built on. Managing that data requires a system that enables users to gain insights but at the same time keeps it private and secure.
By…
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Exercise may be an essential part of a healthy lifestyle, but convincing patients to get moving remains a challenge. Here are a few digital tools worth considering.
By John Halamka, M.D., President, Mayo Clinic Platform,…
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We can reinvent medicine by taking a more active role in fixing these barriers to good patient care, and by developing the digital tools to improve early detection of disease.
By John Halamka, M.D., president,…
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While most thought leaders in digital health believe large language models (LLMs) are still too immature to guide clinical decision making, a case can be made for using them for writing medical notes and…
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Machine learning-based algorithms can now be used to help detect atrial fibrillation, asymptomatic left ventricular systolic dysfunction, and cardiac amyloidosis. Even more digital diagnostic tools are on the drawing board.
By John Halamka, M.D., President,…
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