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Featured Column
Deciphering the Puzzle of Dementia
By John Halamka and Paul Cerrato — A diagnosis of dementia often disrupts the lives of patients and their families. AI-enabled algorithms can provide a more definitive diagnosis, and in some cases help detect curable forms of the condition.
By John Halamka and Paul Cerrato — Computers can’t hold a candle to a 10-year-old’s mastery of human language. But despite their shortcomings, they continue to surprise us with their ability to mimic the way we communicate.
By John Halamka and Paul Cerrato — The term knowledge graph may not be part of your everyday vocabulary, but if you are interested in digital health, it’s worth taking a closer look.
By John Halamka and Paul Cerrato — No sensible clinician would ever allow a large language model to replace them at the bedside, but those who want to use these digital tools to supplement their decision making might benefit from prompt engineering.
By John Halamka and Paul Cerrato — At face value, LLMs seem to exhibit the logical, analytical skills of experienced clinicians. But trying to comprehend what’s “under the hood” remains a challenge.
By John Halamka and Paul Cerrato — The U.S. government and the European Union both realize the need for measured control over the latest technology. Implement too many regulations too quickly and you stifle innovation. Move too slowly and you risk harm from irresponsible players in the field.
Rochester, Minn.-based Mayo Clinic's 2030 strategy is simple: to cure, connect and transform. But to get there, the world-renowned health system needs a robust people strategy developing the workforce of the future.
Rochester, Minn.-based Mayo Clinic is using an artificial intelligence algorithm to identify a left ventricular cardiovascular disease that can go unnoticed until a serious cardiac event, the Post Bulletin reported Nov. 2.
By John Halamka and Paul Cerrato — This digital tool may help healthcare professionals obtain safer, more reliable replies to their large language model prompts.
At HLTH, Mayo Clinic Platform President John Halamka gave a window into how his health system is mitigating generative AI risks. Some of the measures Mayo is taking include running analyses on how well algorithms perform across various subgroups and training models only on internal de-identified data.