What happens when AI takes over routine work? Lessons from software developers suggest how medicine and the role of doctors ...

The need for autonomous coding solutions is multi-faceted and increasing. This need stems mainly from a shortage of qualified coding resources, staggering numbers of patient charts to code, constantly ...

The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may ...

A more predictive, preventive approach to medicine can enable more accurate population-level risk assessments and predictions ...