Digital Health Frontier Blog
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.
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.
By John Halamka and Paul Cerrato — Given their tendency to invent “facts,” several researchers have begun comparing their strengths and weaknesses.
By John Halamka and Paul Cerrato—A well-reasoned, coherent thesis is not enough to convince editorial gatekeepers to accept your article. Consider these additional suggestions.
By John Halamka and Paul Cerrato — Mayo Clinic’s Tapestry Study has demonstrated that next generation genetic analysis can have a significant impact on patient care.
By John Halamka and Paul Cerrato — Imagine if you could create a digital clone of yourself that can be used to test various treatment options to determine which one is best for your real self.
By John Halamka and Paul Cerrato — Data scientists use a variety of coding languages to create AI-driven models, but the real “secret sauce” that helps them identify the best algorithms are the weights the coding generates.