By John Halamka and Paul Cerrato — With so much hyperbole in the news, it’s difficult to separate false promises from genuine medical breakthroughs. Advances in genomics fall into the latter category.

By John Halamka and Paul Cerrato — Coloring outside the lines has always been a challenge for healthcare providers. There are several ways to address the problem.

By John Halamka and Paul Cerrato — Modern healthcare could not survive without experts and their years of experience and training, but when expertise becomes dogmatic, innovation is slowed. We need to be more inclusive in our definition of expertise.

By John Halamka and Paul Cerrato — Mayo Clinic Platform_Connect is transforming how patient data is used to generate innovative diagnostic tools and treatment options.

Innovative data science will enable scalable and accessible personalized, predictive and proactive medicine for patients

By John Halamka and Paul Cerrato — What happens when ChatGPT-4 and a human cardiologist are asked to diagnose the same patient? The results are quite revealing.

Complex and evolving issues require a new playbook for health care. Mayo Clinic Platform is the chief architect for this new model for digital health.*trademark pending

In today’s rapidly advancing digital world where technology is constantly evolving, it is crucial to consider the ethical implications of its use. This is how the concept of Mayo Clinic Platform's Digital Hippocratic Oath was inspired.

By John Halamka and Paul Cerrato — Several thought leaders and stakeholders have joined forces to create GoodDx.org, a searchable database that has the potential to reduce the human suffering affecting millions of Americans.

By John Halamka and Paul Cerrato — The agency recently posted new recommendations for AI developers who want to update their software as a medical device (SAMD). The document offers what we hope will be a less burdensome way to manage the Predetermined Change Control Plan.

Guest post by Sonya Makhni — Understanding their limitations, defining the best use cases, and closing the gaps in transparency and trustworthiness are the keys to responsible LLM adoption.

By John Halamka and Paul Cerrato — Developing and implementing AI-driven algorithms in health care has proven far more complicated than we first imagined. The new Coalition for Health AI (CHAI) guidelines provide the much-needed blueprint.