According to emollick, a new Nature Medicine article evaluates large language models on clinician-grade medical question answering, with top-tier models like GPT4 achieving near-expert accuracy on standardized vignettes and guideline-based tasks; as reported by Nature Medicine, the peer-reviewed study benchmarks multiple LLMs against physicians using validated datasets and finds consistent gains in differential diagnosis and triage reasoning, highlighting opportunities for decision support, quality assurance, and workflow automation in health systems; according to Nature Medicine, the paper stresses safety controls, citation grounding, and prospective validation as prerequisites for deployment in clinical settings.