{"total":29,"rows":[{"id":"2502.12671","title":"Baichuan-M1: Pushing the Medical Capability of Large Language Models","created":"2025-02-18","cited_by_count":43,"area":null},{"id":"2411.06469","title":"ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?","created":"2024-11-10","cited_by_count":32,"area":null},{"id":"2403.13313","title":"Polaris: A Safety-focused LLM Constellation Architecture for Healthcare","created":"2024-03-20","cited_by_count":28,"area":null},{"id":"2405.14766","title":"Evaluating Large Language Models for Public Health Classification and Extraction Tasks","created":"2024-05-23","cited_by_count":6,"area":null},{"id":"2412.12475","title":"RareAgents: Autonomous Multi-disciplinary Team for Rare Disease Diagnosis and Treatment","created":"2024-12-17","cited_by_count":6,"area":null},{"id":"2503.06204","title":"CUPCase: Clinically Uncommon Patient Cases and Diagnoses Dataset","created":"2025-03-08","cited_by_count":6,"area":null},{"id":"2508.11894","title":"QuarkMed Medical Foundation Model Technical Report","created":"2025-08-16","cited_by_count":5,"area":null},{"id":"2602.16201","title":"Long-Tail Knowledge in Large Language Models: Taxonomy, Mechanisms, Interventions and Implications","created":"2026-02-18","cited_by_count":5,"area":null},{"id":"2407.07330","title":"Interpretable Differential Diagnosis with Dual-Inference Large Language Models","created":"2024-07-10","cited_by_count":4,"area":null},{"id":"2503.10486","title":"LLMs in Disease Diagnosis: A Comparative Study of DeepSeek-R1 and O3 Mini Across Chronic Health Conditions","created":"2025-03-13","cited_by_count":3,"area":null},{"id":"2502.14275","title":"Fact or Guesswork? Evaluating Large Language Models' Medical Knowledge with Structured One-Hop Judgments","created":"2025-02-20","cited_by_count":2,"area":null},{"id":"2502.15069","title":"Rare Disease Differential Diagnosis with Large Language Models at Scale: From Abdominal Actinomycosis to Wilson's Disease","created":"2025-02-20","cited_by_count":2,"area":null},{"id":"2605.06226","title":"A Versatile AI Agent for Rare Disease Diagnosis and Risk Gene Prioritization","created":"2026-05-07","cited_by_count":2,"area":null},{"id":"2502.01243","title":"OphthBench: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Ophthalmology","created":"2025-02-03","cited_by_count":1,"area":null},{"id":"2506.11410","title":"Predicting Early-Onset Colorectal Cancer with Large Language Models","created":"2025-06-13","cited_by_count":1,"area":null},{"id":"2508.08140","title":"Data-Efficient Biomedical In-Context Learning: A Diversity-Enhanced Submodular Perspective","created":"2025-08-11","cited_by_count":1,"area":null},{"id":"2502.20938","title":"A Deep User Interface for Exploring LLaMa","created":"2025-02-28","cited_by_count":0,"area":null},{"id":"2505.14620","title":"Enhancing Learned Knowledge in LoRA Adapters Through Efficient Contrastive Decoding on Ascend NPUs","created":"2025-05-20","cited_by_count":0,"area":null},{"id":"2505.17065","title":"Decoding Rarity: Large Language Models in the Diagnosis of Rare Diseases","created":"2025-05-18","cited_by_count":0,"area":null},{"id":"2507.08529","title":"A Multi-granularity Concept Sparse Activation and Hierarchical Knowledge Graph Fusion Framework for Rare Disease Diagnosis","created":"2025-07-11","cited_by_count":0,"area":null},{"id":"2507.15867","title":"RDMA: Cost Effective Agent-Driven Rare Disease Mining from Electronic Health Records","created":"2025-07-14","cited_by_count":0,"area":null},{"id":"2511.05485","title":"MIMIC-SR-ICD11: A Dataset for Narrative-Based Diagnosis","created":"2025-11-07","cited_by_count":0,"area":null},{"id":"2604.01506","title":"Beyond Logit Adjustment: A Residual Decomposition Framework for Long-Tailed Reranking","created":"2026-04-02","cited_by_count":0,"area":null},{"id":"2607.10849","title":"Capabilities of Claude Fable 5 on Biomedical Challenge Problems","created":"2026-07-12","cited_by_count":0,"area":null},{"id":"2608.14683","title":"One Score, Two Decisions: Selective Prediction on the Rare-Disease Tail","created":"2026-08-05","cited_by_count":0,"area":null},{"id":"2609.02473","title":"Learning to Fuse LLMs with Ontology Rankers for Rare-Disease Diagnosis","created":"2026-09-02","cited_by_count":0,"area":null},{"id":"2609.18431","title":"HPOQuest: A Rare-Disease Diagnostic Agent Using Active Phenotype Acquisition","created":"2026-09-16","cited_by_count":0,"area":null},{"id":"2609.18481","title":"Hyperbolic Graph Representation Learning for Differential Diagnosis on Biomedical Knowledge Graphs","created":"2026-09-16","cited_by_count":0,"area":null},{"id":"2609.35549","title":"RareDx: Controlled Knowledge Integration and Graph-Grounded Policy Optimization for Rare-Disease Diagnosis","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}