Tag: Healthcare AI
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Modeling Clinical Concern Trajectories in AI Language Agents
Explore how AI language models mimic clinical risk trajectories to enhance decision-making and patient care in healthcare settings.
Trustworthy Medical VQA: Auditing Vision-Language Models
Explore the reliability of top vision-language models in medical VQA, focusing on grounding failures, format issues, and domain adaptation strategies.
EHR-Embedded AI Agent Governance for Clinicians
Discover a robust framework for evaluating and governing AI agents embedded in EHRs, enhancing clinician efficiency and patient care.
Training-Free Adaptation of LLMs with Legacy Clinical Models
Discover CAPT, a training-free method to adapt new LLMs using legacy clinical models, boosting clinical AI performance without costly retraining.
MedCheck: New Medical Benchmarks for AI Language Models
Discover MedCheck, a new framework improving medical benchmarks for large language models to ensure clinical relevance, safety, and data integrity.