The near ubiquitous use of electronic health records has increased interest in using artificial intelligence (AI) to detect errors, including preventable adverse drug events (ADEs). This scoping review identified 78 studies of AI conducted since 1998, and identified promising areas where AI could be used to predict (e.g., therapeutic response) or detect (e.g., medication prescribing errors) patient harm.