{"total":18,"rows":[{"id":"2408.02056","title":"MedSyn: LLM-based Synthetic Medical Text Generation Framework","created":"2024-08-04","cited_by_count":19,"area":null},{"id":"2402.15700","title":"CoRelation: Boosting Automatic ICD Coding Through Contextualized Code Relation Learning","created":"2024-02-24","cited_by_count":18,"area":null},{"id":"2401.13512","title":"Can GPT-3.5 Generate and Code Discharge Summaries?","created":"2024-01-24","cited_by_count":13,"area":null},{"id":"2307.02006","title":"PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records","created":"2023-07-05","cited_by_count":11,"area":null},{"id":"2311.13735","title":"Surpassing GPT-4 Medical Coding with a Two-Stage Approach","created":"2023-11-22","cited_by_count":6,"area":null},{"id":"2502.18050","title":"Uncertainty-aware abstention in medical diagnosis based on medical texts","created":"2025-02-25","cited_by_count":6,"area":null},{"id":"2401.15290","title":"Benchmarking with MIMIC-IV, an irregular, spare clinical time series dataset","created":"2024-01-27","cited_by_count":5,"area":null},{"id":"2404.02650","title":"Towards detecting unanticipated bias in Large Language Models","created":"2024-04-03","cited_by_count":3,"area":null},{"id":"2410.13439","title":"Similarity-Dissimilarity Loss for Multi-label Supervised Contrastive Learning","created":"2024-10-17","cited_by_count":2,"area":null},{"id":"2509.26136","title":"CliniBench: A Clinical Outcome Prediction Benchmark for Generative and Encoder-Based Language Models","created":"2025-09-30","cited_by_count":2,"area":null},{"id":"2511.11935","title":"SurvBench: A Standardised Preprocessing Pipeline for Multi-Modal Electronic Health Record Survival Analysis","created":"2025-11-14","cited_by_count":2,"area":null},{"id":"2312.13533","title":"Automated Clinical Coding for Outpatient Departments","created":"2023-12-21","cited_by_count":1,"area":null},{"id":"2410.23066","title":"Don't Pay Attention, PLANT It: Pretraining Attention via Learning-to-Rank","created":"2024-10-30","cited_by_count":0,"area":null},{"id":"2507.03122","title":"Federated Learning for ICD Classification with Lightweight Models and Pretrained Embeddings","created":"2025-07-03","cited_by_count":0,"area":null},{"id":"2510.15267","title":"TraceCoder: Towards Traceable ICD Coding via Multi-Source Knowledge Integration","created":"2025-10-17","cited_by_count":0,"area":null},{"id":"2511.09559","title":"Enhancing Rare Codes via Probability-Biased Directed Graph Attention for Long-Tail ICD Coding","created":"2025-10-31","cited_by_count":0,"area":null},{"id":"2511.14119","title":"Real-Time Mobile Video Analytics for Pre-arrival Emergency Medical Services","created":"2025-11-18","cited_by_count":0,"area":null},{"id":"2607.11954","title":"Graph-Constrained Policy Learning for Extreme Clinical Code Prediction","created":"2026-07-11","cited_by_count":0,"area":null}],"next_cursor":null}