Evaluating Machine Learning Articles

In this issue of JAMA, Liu and colleagues1 provide a users' guide to reading clinical machine learning articles. Beyond a synopsis of selected concepts in modern machine learning, the authors elaborate step-by-step guidance for physicians seeking to evaluate this evidence with a critical eye. In an era when readers are bombarded with artificial intelligence in everyday life, from credit card fraud warnings and smartphones that anticipate their needs to life-like videos of people who do not actually exist, the sanity check provided by this article is most welcome.