By John Halamka and Paul Cerrato — With so many developers launching AI algorithms, end users worry that they may be investing in useless—or harmful—technology. Academic medical centers, technology companies, and federal agencies have joined forces to address the challenge.

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. 

By John Halamka and Paul Cerrato — This digital tool may help healthcare professionals obtain safer, more reliable replies to their large language model prompts.

By John Halamka and Paul Cerrato — Generative AI and digital tools can do much more than finish a sentence or answer patients’ questions, but we need to point them in the right direction.

Guest post by Sonya Makhni — Despite the growth of AI solutions, it has still not translated into widespread clinical adoption. The four pillars of high-quality AI aim to drive sustainable change.

By John Halamka and Paul Cerrato — Bringing together data network partners, solution developers, and provider organizations produced actionable insights that will reinvent the healthcare ecosystem.

By John Halamka and Paul Cerrato — Innovative solutions to stubborn medical problems can come from the most unlikely sources, including many “unexperts.”

By John Halamka and Paul Cerrato — 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.