{"total":20,"rows":[{"id":"2407.00379","title":"GraphArena: Evaluating and Exploring Large Language Models on Graph Computation","created":"2024-06-29","cited_by_count":49,"area":null},{"id":"2402.00160","title":"Emergency Department Decision Support using Clinical Pseudo-notes","created":"2024-01-31","cited_by_count":22,"area":null},{"id":"2403.10822","title":"Can Large Language Models abstract Medical Coded Language?","created":"2024-03-16","cited_by_count":20,"area":null},{"id":"2406.13846","title":"Text Serialization and Their Relationship with the Conventional Paradigms of Tabular Machine Learning","created":"2024-06-19","cited_by_count":17,"area":null},{"id":"2407.17856","title":"Enhancing clinical decision support with physiological waveforms -- a multimodal benchmark in emergency care","created":"2024-07-25","cited_by_count":15,"area":null},{"id":"2503.05768","title":"A Collection of Innovations in Medical AI for patient records in 2024","created":"2025-02-25","cited_by_count":7,"area":null},{"id":"2510.13843","title":"Serialized EHR make for good text representations","created":"2025-10-11","cited_by_count":7,"area":null},{"id":"2505.16941","title":"FoMoH: A clinically meaningful foundation model evaluation for structured electronic health records","created":"2025-05-22","cited_by_count":6,"area":null},{"id":"2411.16346","title":"Towards Foundation Models for Critical Care Time Series","created":"2024-11-25","cited_by_count":4,"area":null},{"id":"2412.00606","title":"Fairness at Every Intersection: Uncovering and Mitigating Intersectional Biases in Multimodal Clinical Predictions","created":"2024-11-30","cited_by_count":2,"area":null},{"id":"2509.16491","title":"FairTune: A Bias-Aware Fine-Tuning Framework Towards Fair Heart Rate Prediction from PPG","created":"2025-09-20","cited_by_count":2,"area":null},{"id":"2511.04070","title":"T-FIX: Text-Based Explanations with Features Interpretable to eXperts","created":"2025-11-06","cited_by_count":2,"area":null},{"id":"2608.23627","title":"From Triage to Discharge: A Survey of NLP Tasks, Methods, and Open Challenges in the Emergency Department","created":"2026-08-23","cited_by_count":1,"area":null},{"id":"2609.21755","title":"ECG Mirage: Revealing and Mitigating the Underutilisation of ECGs in Vision-Language Models for Clinical Prediction","created":"2026-09-18","cited_by_count":1,"area":null},{"id":"2406.08930","title":"Efficient Multi-View Fusion and Flexible Adaptation to View Missing in Cardiovascular System Signals","created":"2024-06-13","cited_by_count":0,"area":null},{"id":"2510.14286","title":"Stable Prediction of Adverse Events in Medical Time-Series Data","created":"2025-10-16","cited_by_count":0,"area":null},{"id":"2602.23614","title":"When Does Multimodal Learning Help in Healthcare? A Benchmark on EHR and Chest X-Ray Fusion","created":"2026-02-27","cited_by_count":0,"area":null},{"id":"2605.15235","title":"MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion","created":"2026-05-13","cited_by_count":0,"area":null},{"id":"2607.28788","title":"EarlyDx: An Admission-Anchored Benchmark for Open-Ended Generation of Evidence-Supported ED-Encounter Diagnoses","created":"2026-07-30","cited_by_count":0,"area":null},{"id":"2609.32810","title":"OpenTumorBoard: A Real-World Benchmark of Multidisciplinary Tumor Board Discussion Trajectories","created":"2026-09-26","cited_by_count":0,"area":null}],"next_cursor":null}