Clinical Knowledge
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Benchmarks
BIG-bench
Most implemented
Enhancing Explainable Cardiac Diagnosis with Guide-Grounded Multimodal LLMs
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Mask of truth: model sensitivity to unexpected regions of medical images
INSIGHTBUDDY-AI: Medication Extraction and Entity Linking using Large Language Models and Ensemble Learning
Papers
Clinical Graph-JEPA: Predictive Patient-State Knowledge Graphs for Cognitive Decision Support
Clinical records contain rich evidence about patient state, but converting that evidence into reliable, structured knowledge graphs remains difficult because extraction errors, ontology mismatch, missing relations, and t…
Clinical KnowledgeKnowledge GraphsLarge language models as synthetic clinical experts to inform longitudinal rare-disease modeling
Due to the limited amount of information, modeling longitudinal rare-disease data can benefit from integrating clinical knowledge. Yet, elicitation of expert knowledge and formalization for model fitting is challenging, …
Representation LearningClinical KnowledgeA Neurosymbolic Approach for Explainable Early Diagnosis of Alzheimer's Disease
Identifying reliable Alzheimer's disease (AD) markers typically requires manual, labor-intensive transcription and expert analysis, limiting its scale. We introduce an automated pipeline that extracts qualitative knowled…
Clinical KnowledgeScaFE: Data-Efficient Scar Classification with LLM-Generated Clinical Feature Programs
Classifying pathological scars from clinical photographs requires distinguishing keloids from hypertrophic scars despite limited expert-labeled data and substantial acquisition variation across hospitals. End-to-end imag…
Medical Image ClassificationFeature EngineeringClinical KnowledgeOrthKD: Extracting Generalized Clinical Knowledge from Heterogeneous Teachers for Lightweight Deployment
Deploying diabetic retinopathy (DR) screening models in primary care requires edge-efficient systems that remain accurate, safe, and reliable under domain shift. Multi-teacher knowledge distillation (KD) is a natural com…
Knowledge DistillationClinical KnowledgeEnhancing Explainable Cardiac Diagnosis with Guide-Grounded Multimodal LLMs
The electrocardiogram (ECG) is a cornerstone of cardiac as- sessment, yet clinical deployment of deep learning models remains con- strained by limited interpretability and the hallucination risk of large language models …
Clinical Knowledge