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Clinical AI & Medical LLMs
Large language models in clinical notes, decision support, patient communication, and administrative burden — capabilities and limits.
NEWClinical AI & LLMs
Agentic AI in Medicine: What Autonomous AI Agents Have and Haven't Achieved
Autonomous AI agents that plan, use tools and take action are rapidly entering medicine; benchmark results are striking, yet real-world evidence, cost a…
UpdatedClinical AI & LLMsArtificial Intelligence in Clinical Decision Support: What It Has and Hasn't Achieved
AI-based clinical decision support has improved discrimination and process measures, yet prospective patient-outcome evidence, low false-alarm burden, a…
UpdatedClinical AI & LLMsMedical Large Language Models: They Passed the Exam — But Did They Win the Clinic?
Medical large language models now exceed expert level on exam benchmarks, yet the measured benefit of real physician-AI collaboration is far more modest…
UpdatedClinical AI & LLMsAI-Driven Triage and Symptom Assessment: The 2026 Evidence Landscape
AI-based symptom assessment tools can match clinicians on triage accuracy in vignette settings, yet real-world validation, over-triage, and distribution…