Tag: Clinical AI
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Building Measurable Trust in Clinical AI: Evidence & Supervision
Discover a framework for clinical AI trust based on evidence, human supervision, and staged autonomy to ensure safer, transparent medical decisions.
Clinical AI Evaluation Using Case-Specific Rubrics & LLMs
Explore case-specific rubrics for clinical AI evaluation, validating LLM-clinician agreement across 823 encounters to improve healthcare outcomes.
Agentic AI Outperforms Experts in Myeloma Clinical Reasoning
Study shows agentic AI surpasses expert consensus in analyzing longitudinal myeloma records, enhancing complex clinical decision-making accuracy.
Optimal Question Selection for AI-Powered Psychiatric Intake
Discover how adaptive AI improves question selection in psychiatric intake, enhancing clinical info recovery and patient outcomes in mental health care.
Reliability Audit of LLM Hospitalization Risk Scores in Psychiatry
Explore systematic reliability auditing of LLM-generated hospitalization risk scores in psychiatry, revealing impacts of irrelevant data and prompt design.