Longitudinal EHR Modeling

EHR: Electronic Health Record

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16 papers in the last four weeks, up 433% on the four weeks before. 0.2% of all new papers.

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Autoregressive EHR Foundation Models with Multimodal Inputs
Jul 24, 2026Yuxuan Liu, Joshua Placidi, Jinpei Han +3Clinical Outcome Prediction Multimodal Token Compression
Dept. of Computing, Imperial College London, London, United Kingdom · UKRI Centres in AI for Health, United Kingdom · School of Public Health, Imperial College London, London, United Kingdom +2
Pretraining EHR Foundation Models with Patient-Aware Sampling
Jul 24, 2026Joshua Placidi, Yuxuan Liu, Jinpei Han +2Longitudinal EHR Modeling Electronic Health Records
Dept. of Computing, Imperial College London, London, United Kingdom · Dept. of Bioengineering, Imperial College London, London, United Kingdom · UKRI Centres in AI for Health, United Kingdom +1
MissHyper: Restoring Clinical Synchronicity in Missingness-Guided Hypergraph Forecasting
Jul 24, 2026Mingyi Ma, Qingxiong TanIrregular Time-Series Modeling Multivariate Time Series Forecasting
Academy of Advanced Interdisciplinary Studies Wuhan University · Institute for Mathematics & Artificial Intelligence Wuhan University
Biological Amnesia in ICU Time-Series Prediction: A Drift-Adaptive Two-Stream Architecture with Temporal Retrieval
Jul 21, 2026Fatema Ferdous Tamanna, K. M. Merajul Arefin, Md. Abdul MasudClinical Decision Support Longitudinal EHR Modeling
Dept. of Computer Science and Information Technology, Patuakhali Science and Technology University, Bangladesh · Dept. of Computer Science and Engineering, University of Dhaka, Bangladesh
A Framework for Early Sepsis Prediction via Self-Supervised (JEPA) and Federated Representation Learning
Jul 18, 2026Umair bin Mansoor, Munaf Rashid, Roomi NaqviSelf-Supervised Pre-Training Joint-Embedding Predictive Architecture
Electrical Engg. Department, DHA Suffa University, Karachi, Pakistan · Salim Habib University, Karachi, Sindh, Pakistan · Intel Foundry Services, Intel, Tempe, Arizona, United States
TEDDY: A Pediatric Foundation Model for Risk Forewarning from ICD-Coded Diagnostic Histories
Jul 15, 2026Matthew Brady Neeley, Jorge Botas, Johnathan Jia +5Clinical Prediction Longitudinal EHR Modeling
Baylor College of Medicine
AdaPCLA: Adaptive Prior-Calibrated Logit Adjustment for Long-Tailed Longitudinal EHR Generation
Jul 14, 2026Shuai Cui, Chen Wenxuan, Wenjie Du +3Long-Tail Learning Synthetic Data Generation
University of Science and Technology of China · Sun Yat-sen University
Evidence-Grounded AI for Musculoskeletal Care
Jul 14, 2026Wenjie Li, Yujie Zhang, Fanrui Zhang +34Healthcare Clinical Decision Support
Department of Orthopaedics, Ruijin Hospital, College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China · Shanghai Innovation Institute, Shanghai, China · Shanghai Artificial Intelligence Laboratory, Shanghai, China +7
Multimodal Routing for Interpretable, Robust, and Auditable Clinical Prediction
Jul 10, 2026Nikkie Hooman, Zhongjie Wu, Eric C. Larson +1Multimodal Robustness Clinical Prediction
Southern Methodist University Dallas, USA
LongMedBench: Benchmarking Medical Agents for Long-Horizon Clinical Decision-Making
Jul 10, 2026Zihan Xu, Yanzhen Chen, Xiaocheng Zhang +4Long-Horizon Agent Evaluation Clinical Decision-Making
Zhejiang University, Hangzhou, China · Alibaba Group, Hangzhou, China · Transvascular Implantation Devices Research Institute, Hangzhou, China
X-FEMR: A Token-level Explainable Approach for Electronic Health Records Foundation Models using Transformer-based Models
Jul 7, 2026Jie Huang, Pengfei Yin, Zihan Xu +3Neural Surrogate Modeling Neural Network Interpretability
School of Computing and Information Systems, University of Melbourne, Melbourne, Australia · Department of General Medicine, Royal Melbourne Hospital Melbourne, Australia
Teaching LLMs to Recommend and Defer in Underrepresented Epilepsy Care
Jun 30, 2026Shreyas Rajesh, Kartik Sharma, Tonmoy Monsoor +8Prompt Learning Selective Prediction
Electrical and Computer Engineering, University of California, Los Angeles · Makerere University · St. Francis Hospital Nsambya +1
ENC-ODE: Event-level Neurodegenerative Modeling in Continuous Time with Neural ODEs
Jun 29, 2026Yujee Song, Seunghun Baek, Guorong Wu +1Latent Dynamics Modeling Longitudinal EHR Modeling
Pohang University of Science and Technology, Pohang, South Korea · University of North Carolina at Chapel Hill, Chapel Hill, USA
The Verbose Context Problem in Medical Records
Jun 28, 2026Shiva Kaul, Min-Gyu Kim, Anjum Khurshid +1Long-Context Modeling Longitudinal EHR Modeling
Department of Population Medicine · Department of Biomedical Informatics, Ajou University School of Medicine · Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School +1
Improving Patient Subtyping on Longitudinal Data using Representations from Mamba-based Architecture
Jun 26, 2026Md Mozaharul Mottalib, Rahmatollah BeheshtiMamba Self-Supervised Time Series Representation Learning
University of Delaware, Newark, Delaware, USA
PORTER: Language-Grounded Event Representations for Portable Structured EHR Foundation Models
Jun 23, 2026Lin Lawrence Guo, Adam Paul Yan, Emily Vettese +1Clinical Outcome Prediction Text Embedding Models
Child Health Evaluative Sciences · The Hospital for Sick Children · Toronto, Canada +1
VISTA Architect: A graph database-oriented health AI system demonstrated in multidisciplinary tumor boards
Jun 21, 2026Tuomo Kiiskinen, Jason Fries, Philip Adamson +7Healthcare Clinical Decision Support
Department of Biomedical Data Science, Stanford University School of Medicine · Department of Medicine, Stanford University School of Medicine
Cohort-Anchored Foundation Models for Electronic Health Records: From Risk Scores to Auditable Peer Cohorts
Jun 20, 2026Kaiping ZhengClinical Decision-Making Multimodal Model Interpretability
National University of Singapore
MedRLM: Recursive Multimodal Health Intelligence for Long-Context Clinical Reasoning, Sensor-Guided Screening, Evidence-Grounded Decision Support, and Community-to-Tertiary Referral Optimization
Jun 18, 2026Aueaphum AueawatthanaphisutClinical Decision Support Multimodal Reasoning
School of Information, Computer, and Communication Technology Sirindhorn International Institute of Technology, Thammasat University Pathum Thani, Thailand
Routine laboratory trajectories encode the onset of organ-level complications in cancer
Jun 7, 2026Jannik Lübberstedt, Krischan Braitsch, Jacqueline Lammert +21Toxicity Detection Oncology
Department of Diagnostic and Interventional Radiology, School of Medicine and Health, TUM Klinikum, Rechts der Isar, Technical University of Munich, Germany. · Department of Medicine III, School of Medicine and Health, TUM Klinikum, Rechts der Isar, Technical University of Munich, Germany. · Chair of Medical Informatics, Institute of Artificial Intelligence in Medicine and Healthcare, School of Medicine and Health, TUM Klinikum, Rechts der Isar, Technical University of Munich, Germany. +8
LongMoE: Longitudinal Multimodal Learning via Trajectory-Aware Mixture-of-Experts
Jun 6, 2026Maxx Richard Rahman, Prakhar Kumar, Wolfgang MaassMissing-Modality Learning Multimodal Robustness
German Research Centre for Artificial Intelligence (DFKI) Saarbrücken, Germany
Accelerating Reproducible Research in Synthetic EHR Generation
Jun 5, 2026Jalen Jiang, Chufan Gao, Ethan Rasmussen +2Synthetic Data Generation ML Reproducibility
University of Illinois Urbana-Champaign
A Machine Learning-Based Framework for Discovering Huntington's Disease Stages: Integrating Graph Representation Learning and clustering to Uncover Progression Dynamics in Longitudinal Enroll-HD Dataset
Jun 4, 2026Lubna M. Abu Zohair, Marta Vallejo, MD Azher Uddin +2Unsupervised Clustering Longitudinal EHR Modeling
School of Mathematical and Computer Sciences, Heriot-Watt University, Dubai, United Arab Emirates · School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, United Kingdom
HoT-SSM:Higher-order Temporal Knowledge Graph Reasoning with State Space Models for Health Care
Jun 4, 2026Thummaluru Siddartha Reddy, Vempalli Naga Sai Saketh, Yash Punjabi +1Clinical Outcome Prediction Hypergraph Neural Networks
Fujitsu Research of India, Bangalore
Causal Longitudinal Prior-Fitted Networks for Counterfactual Outcome Prediction
Jun 4, 2026Amirhossein Zare, Amirhessam Zare, Herlock Rahimi +2Structural Causal Models Counterfactual Prediction
School of Medicine, Tehran University of Medical Sciences, Tehran, Iran. · Department of Electrical and Computer Engineering, Yale University, New Haven, CT, USA. · School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran. +2
Modeling and Interpreting Teamwork Dynamics in Cancer Care Outcome Prediction
Jun 3, 2026Yuhua Huang, Hsiao-Ying Lu, Kwan-Liu MaCancer Survival Prediction Healthcare
University of California, Davis Davis, California, USA
Traj-Evolve: A Self-Evolving Multi-Agent System for Patient Trajectory Modeling in Lung Cancer Early Detection
Jun 1, 2026Sihang Zeng, Matthew Thompson, Ruth Etzioni +1Retrieval-Augmented Generation Medical Diagnosis
University of Washington · Fred Hutch Cancer Center · Google
ChatHealthAI: Aligning Electronic Health Record Representations with Large Language Models for Grounded Clinical Reasoning
Jun 1, 2026Bo-Hong Wang, Baicheng Peng, Ruilin Wang +3LLM Grounding LLM Alignment
School of Computer Science, McGill University, Montreal, QC, Canada · Mila - Quebec AI Institute, Montreal, QC, Canada
Scalable Counterfactual Risk Estimation for Rare Events in Longitudinal Data
Jun 1, 2026Xiaohui Yin, Avijit Mitra, Ying Zhou +2Causal Effect Estimation Survival Analysis
University of Massachusetts Amherst Amherst, Massachusetts, USA · University of Massachusetts Lowell Lowell, Massachusetts, USA
Digitally enriching a high-risk population for pancreatic cancer using routine blood-based measures and clinical histories
May 28, 2026Chris Varghese, Leo Y. Li-Han, Richa Bisht +10Oncology Longitudinal EHR Modeling
Department of Surgery, Mayo Clinic, Rochester, MN, USA · Department of Surgery, University of Auckland, Auckland, NZ · Department of Hematology and Oncology, Mayo Clinic, Phoenix, AZ, USA +5

Jul 24, 2026, cs.LGJ/K move · Enter open · S save

Autoregressive EHR Foundation Models with Multimodal Inputs

Yuxuan Liu, Joshua Placidi, Jinpei Han, Alfred John Balston+2

Dept. of Computing, Imperial College London, London, United Kingdom · UKRI Centres in AI for Health, United Kingdom · School of Public Health, Imperial College London, London, United Kingdom+2

Clinical Outcome Prediction Multimodal Token Compression Longitudinal EHR Modeling Multimodal Fusion

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Autoregressive foundation models trained on tokenized electronic health records (EHRs) can support zero-shot clinical prediction, yet most operate on structured event codes alone, and do not incorporate multiple modalities in a principled way. We present a framework for conditioning such models on auxiliary clinical modalities, including ECG waveforms, chest X-ray images, and clinical notes, using modality-specific latent compression and gated cross-attention with temporal alignment. We investigate two key design choices: (1) how to compress long per-modality sequences (e.g., ECG time series) before they enter the multi-modal cross-attention. This feature may be essential to reduce compute overheads and may be beneficial for generalization; (2) how the choice of pretrained encoder for each modality impacts downstream performance. Through controlled ablations on MIMIC-IV, we show that the best latent-compression configurations outperforms both uncompressed cross-attention and mean pooling. Encoder choice has a clear within-modality effect, with stronger pretrained encoders consistently outperforming weaker alternatives. We further show that merely adding auxiliary modalities does not guarantee improvement on ICU mortality prediction over an EHR-only baseline. This implies that careful design of the fusion architecture and an appropriate evaluation in the clinical context are required.

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