clinical prediction

One Panel Does Not Fit All: Case-Adaptive Multi-Agent Deliberation for Clinical Prediction ACL 2026 Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance AAAI 2026 Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHR Data ICLR 2025 Decode Like a Clinician: Enhancing LLM Fine-Tuning with Temporal Structured Data Representation IJCNLP 2025 Regretful Decisions under Label Noise ICLR 2025 Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models NAACL 2025 Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation NeurIPS 2024 FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records MLHC 2024 Large Language Models Encode the Practice of Medicine NAACL 2024 RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records ACL 2024 Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML ICLR 2024 Boosting Transformers and Language Models for Clinical Prediction in Immunotherapy ACL 2023 DuETT: Dual Event Time Transformer for Electronic Health Records MLHC 2023 EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models NeurIPS 2023 Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine NeurIPS 2023 Participatory Personalization in Classification NeurIPS 2023 Race, Gender, and Age Biases in Biomedical Masked Language Models ACL 2023 Updating Clinical Risk Stratification Models Using Rank-Based Compatibility: Approaches for Evaluating and Optimizing Clinician-Model Team Performance MLHC 2023 When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction ICML 2023 FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation MIDL 2022 Improving information fusion on multimodal clinical data in classification settings EMNLP 2022 CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays MLHC 2021 Deep Contextual Clinical Prediction with Reverse Distillation AAAI 2021 Deep Survival Analysis With Longitudinal X-Rays for COVID-19 ICCV 2021 Dynamic Survival Analysis for EHR Data with Personalized Parametric Distributions MLHC 2021