Sense and Sensitivity: Benchmarking LLM Clinical Triage Recommendations with Physician Experts
cs.AI
Submitted: 2026-09-29
Updated: 2026-09-29
Terminology
Sources
- Medical Large Language Model Benchmarks Should Prioritize Construct Validity
- A General Language Assistant as a Laboratory for Alignment
- Qwen Technical Report
- Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
- Clinical knowledge in LLMs does not translate to human interactions
- Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models
- The impact of responding to patient messages with large language model assistance
- How Individual Traits and Language Styles Shape Preferences In Open-ended User-LLM Interaction: A Preliminary Study
- DeepSeek-V3 Technical Report
- The Llama 3 Herd of Models
- Vision-Language Models Performing Zero-Shot Tasks Exhibit Gender-based Disparities
- MedPAIR: Measuring Physicians and AI Relevance Alignment in Medical Question Answering
- RadOnc-GPT: An Autonomous LLM Agent for Real-Time Patient Outcomes Labeling at Scale
- What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams
- MedDM:LLM-executable clinical guidance tree for clinical decision-making
- MedGUIDE: Benchmarking Clinical Decision-Making in Large Language Models
- Evaluating LLM -- Generated Multimodal Diagnosis from Medical Images and Symptom Analysis
- Bias patterns in the application of LLMs for clinical decision support: A comprehensive study
- GPT-4 Technical Report
- Towards Better Health Conversations: The Benefits of Context-seeking
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