Clinical reasoning and decision making represent the cornerstone of effective patient care and are integral to advanced medical education. This field explores how students and professionals blend ...

Multi-AI agents – multiple artificial intelligence agents working together in a shared environment – can be used to address persistent workflow challenges in clinical decision support, drawing from ...

Deployment of artificial intelligence for point-of-care clinical decision support is in its nascency. Despite the media attention and proliferation of AI studies, translation to clinical practice is ...

Investigators found that ChatGPT was about 72 percent accurate in overall clinical decision making, from coming up with possible diagnoses to making final diagnoses and care management decisions. A ...

A lot of scientific and popular decision-making literature is couched in a dual-process model [1]. The dual-process model pits the relatively automatic, heuristic-driven, and unconscious System 1 ...

A team of researchers analyzed GPT-4's performance in four clinical decision support scenarios: generating clinical vignettes, diagnostic reasoning, clinical plan generation and subjective patient ...