newsGoogle News — LLMTrust 62 · AggregatorPublished 1mo agoLive · 1mo ago
Clinician Use of a General-Purpose Large Language Model in Hospital Medicine: A Mixed-Methods Pilot Study - Cureus
Clinician Use of a General-Purpose Large Language Model in Hospital Medicine: A Mixed-Methods Pilot Study
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 61%Multi-Large Language Model Orchestrated Severity Assessment of Clinical Records (MOSAIC) →
- PossiblePossibly related (embedding) · 55%The strength of clinical evidence is recoverable from language model representations but not from their stated grades →
- PossiblePossibly related (embedding) · 53%tyang816/Awesome-TCM-LLM →
- PossiblePossibly related (embedding) · 49%CaresAI at CT-DEB26: Detecting Dosing Errors In Clinical Trials Using Domain-Specific Transformer Embeddings and Classification Models →
- PossiblePossibly related (embedding) · 48%A rubric-based controlled comparison of frontier language models on expert-authored clinical reasoning tasks →
- PossiblePossibly related (embedding) · 50%MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation →
- PossiblePossibly related (embedding) · 58%Evaluating Large Language Models on Misconceptions in Multi-Turn Medical Conversations →
- PossiblePossibly related (embedding) · 57%Safety That Does Not Transfer: Cross-Lingual Clinical Correctness Drift in Deployable Medical Language Models →
Covers
paperMulti-Large Language Model Orchestrated Severity Assessment of Clinical Records (MOSAIC)paperThe strength of clinical evidence is recoverable from language model representations but not from their stated gradesrepotyang816/Awesome-TCM-LLMpaperCaresAI at CT-DEB26: Detecting Dosing Errors In Clinical Trials Using Domain-Specific Transformer Embeddings and Classification ModelspaperA rubric-based controlled comparison of frontier language models on expert-authored clinical reasoning tasks
Covers (incoming)
paperMedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical ConsultationpaperEvaluating Large Language Models on Misconceptions in Multi-Turn Medical ConversationspaperSafety That Does Not Transfer: Cross-Lingual Clinical Correctness Drift in Deployable Medical Language ModelspaperHealMed: Multilingual Evaluation of Large Language Models in Medicine
Related across the graph
paperMedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical ConsultationpaperHealMed: Multilingual Evaluation of Large Language Models in MedicinepaperEvaluating Large Language Models on Misconceptions in Multi-Turn Medical Conversationsrepotyang816/Awesome-TCM-LLMpaperMulti-Large Language Model Orchestrated Severity Assessment of Clinical Records (MOSAIC)paperA rubric-based controlled comparison of frontier language models on expert-authored clinical reasoning taskspaperCaresAI at CT-DEB26: Detecting Dosing Errors In Clinical Trials Using Domain-Specific Transformer Embeddings and Classification ModelspaperThe strength of clinical evidence is recoverable from language model representations but not from their stated gradespaperSafety That Does Not Transfer: Cross-Lingual Clinical Correctness Drift in Deployable Medical Language Models