Artificial intelligence (AI) has entered medicine at remarkable speed. Its ability to search, summarize, compare, calculate, and interrogate scientific information creates opportunities that would have been difficult to imagine only a few years ago. At the same time, its incorporation into scientific evaluation has understandably generated skepticism. Can an algorithm critically appraise a medical publication or research question? Can it recognize methodological weaknesses behind an apparently convincing conclusion? And, perhaps more importantly, how much should clinicians trust an AI-generated assessment of evidence?