By John Halamka and Paul Cerrato — The capabilities of generative AI continue to grow.  Using them wisely will likely improve clinical decision making.

By John Halamka and Paul Cerrato — The Oxford Dictionary says disease is a disorder of structure or function, especially one that has a known cause and a distinctive group of symptoms, signs, or anatomical changes. It’s time to rethink that simplistic definition.

By John Halamka and Paul Cerrato — In part one, we discussed the shortcomings of evidence-based medicine and the disconnect between RCTs and bedside clinical care. Part 2 explores possible solutions, including machine learning-based algorithms. 

By John Halamka and Paul Cerrato — Evidence-based medicine has benefited patients in countless ways, but there’s a disconnect between EBM and the clinical care that is typically delivered at the bedside. Pragmatic, real-world trials and AI-based algorithms may help solve the problem.

A patient with a rare cancer found hope thanks to his dedicated physician at Minnesota Oncology and the Mayo Clinic Care Network.

By John Halamka and Paul Cerrato — In part 2 of our series on the basics of digital technology, we explore the deep learning tools that can improve medical image analysis and much more.

By John Halamka and Paul Cerrato — In this new series, we pull back the curtain on the Wizard of Oz to provide plain English explanations about machine learning, artificial neural networks, natural language processing, large language models, and related technology.