Electronic Health Records

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Period ending 2026-09-21

35 new papers

A weekly snapshot of new work published in Electronic Health Records.

Period ending 2026-09-14

29 new papers

A weekly snapshot of new work published in Electronic Health Records.

Period ending 2026-09-07

52 new papers

A weekly snapshot of new work published in Electronic Health Records.

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Clinical Prediction

Within Electronic Health Records

139 papersExplore

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Clinical Reasoning

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116 papersExplore

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Electronic Health Records

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109 papersExplore

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Clinical Decision Support

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86 papersExplore

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Clinical Notes

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76 papersExplore

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Healthcare

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66 papersExplore

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Clinical

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Electronic Health Record Foundation Models

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62 papersExplore

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Patient Trajectories

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51 papersExplore

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Real-World Clinical Workflows

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38 papersExplore

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Mimic-Iv Datasets

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30 papersExplore

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Longitudinal Patient Records

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28 papersExplore

747 papers

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Med-StepBench: A Hierarchical Reasoning Framework for Evaluating Hallucinations in Medical Vision-Language Models
May 11, 2026Minh Khoi Nguyen, Dai Lam Le, Amir Reza Jafari +8Medical Vision-Language Models Robust Hallucination Detection
Generating synthetic electronic health record data using agent-based models to evaluate machine learning robustness under mass casualty incidents
May 11, 2026Roben Delos Reyes, Daniel Capurro, Nicholas GeardElectronic Health Records Agent-Based Model
WISTERIA: Learning Clinical Representations from Noisy Supervision via Multi-View Consistency in Electronic Health Records
May 10, 2026Ruan Dong, Yuanyun Zhang, Shi LiElectronic Health Records Weak Supervision
Medical Model Synthesis Architectures: A Case Study
May 10, 2026Katherine M. Collins, Marlene Berke, Ilia Sucholutsky +6Clinical Prediction Artificial Intelligence Systems
CodeClinic: Evaluating Automation of Coding Skills for Clinical Reasoning Agents
May 10, 2026Timothy Ossowski, Xinchi Liu, Danyal Maqbool +6Clinical Reasoning Intensive Care Unit
MedMeta: A Benchmark for LLMs in Synthesizing Meta-Analysis Conclusion from Medical Studies
May 10, 2026Huy Hoang Ha, Benoit Favre, Francois PortetSystematic Review Clinical Reasoning
CLR-voyance: Reinforcing Open-Ended Reasoning for Inpatient Clinical Decision Support with Outcome-Aware Rubrics
May 10, 2026Aishik Nagar, Arun-Kumar Kaliya-Perumal, Yu-Hsuan Han +5Clinical Reasoning Rubrics
Key Coverage Matters: Semi-Structured Extraction of OCR Clinical Reports
May 10, 2026Yu Wang, Yingyun Li, Ying Qin +1Clinical Notes Electronic Health Records
Outlier detection for patient monitoring and alerting
May 9, 2026Miloš Hauskrecht, Iyad Batal, Michal Valko +3Electronic Health Records Early Warning
Event Fields: Learning Latent Event Structure for Waveform Foundation Models
May 9, 2026Li Na, Yuanyun Zhang, Shi LiElectronic Health Record Foundation Models Physiological Data
Human-LLM Dialogue Improves Diagnostic Accuracy in Emergency Care
May 8, 2026Burcu Sayin, Ngoc Vo Hong, Ipek Baris Schlicht +8Real-World Clinical Workflows Emergency Evacuations
Measuring What Matters: Benchmarking Generative, Multimodal, and Agentic AI in Healthcare
May 8, 2026Prasanna Desikan, Harshit Rajgarhia, Shivali Dalmia +1Clinical Decision Support Real-World Tasks
Active Multiple-Prediction-Powered Inference
May 8, 2026Nicholas Brawand, Nima Leclerc, Anhthy Ngo +4Clinical Prediction Active Perception
Benchmarking Foundation Models for Renal Lesion Stratification in CT
May 8, 2026Hartmut Häntze, Sarah de Boer, Myrthe Buser +7Radiomics Electronic Health Record Foundation Models
Emergent Symbolic Structure in Health Foundation Models: Extraction, Alignment, and Cross-Modal Transfer
May 8, 2026Gajendra Katuwal, Advait Koparkar, Salar Abbaspourazad +2Electronic Health Record Foundation Models Multimodal Foundation Model
MedAction: Towards Active Multi-turn Clinical Diagnostic LLMs
May 8, 2026Hsin-Ling Hsu, Zizheng Wang, Donghua Zhang +9Patient Trajectories
PerCaM-Health: Personalized Dynamic Causal Graphs for Healthcare Reasoning
May 8, 2026Elahe Khatibi, Ziyu Wang, Saba A. Farahani +4Causal Foundation Models Longitudinal Patient Records
MedExAgent: Training LLM Agents to Ask, Examine, and Diagnose in Noisy Clinical Environments
May 8, 2026Yicheng Gao, Xiaolin Zhou, Yahan Li +2Clinical Reasoning Diagnostic Benchmark
MedHorizon: Towards Long-context Medical Video Understanding in the Wild
May 7, 2026Bodong Du, Bowen Liu, Yang Yu +8Medical Visual Question Answering Video Understanding
Eliciting associations between clinical variables from LLMs via comparison questions across populations
May 7, 2026Fabian Kabus, Kian Kordtomeikel, Thomas Brox +3Clinical Spurious Correlations
Systematic Evaluation of Large Language Models for Post-Discharge Clinical Action Extraction
May 7, 2026Shivali Dalmia, Ananya Mantravadi, Prasanna DesikanClinical Reasoning Large Language Model Performance
Correcting heterogeneous diagnostic bias when developing clinical prediction models using causal hidden Markov models
May 7, 2026Jose Benitez-Aurioles, Ricardo Silva, Brian McMillan +1Clinical Prediction Chronic Kidney Disease
An Explainable Unsupervised-to-Supervised Machine Learning Framework for Dietary Pattern Discovery Using UK National Dietary Survey Data
May 7, 2026Wing Yi Yu, Chun Yin ChiuNutrient Reasoning Clinical Prediction
Resolving the bias-precision paradox with stochastic causal representation learning for personalized medicine
May 7, 2026Peisong Zhang, Manqiang Peng, Yuxuan Wu +21Causal Representation Learning Clinical Decision Support
Joint Treatment Effect Estimation from Incomplete Healthcare Data: Temporal Causal Normalizing Flows with LLM-driven Evolutionary MNAR Imputation
May 6, 2026Olivia Jullian Parra, Sara Zoccheddu, David Catalan Cerezo +7Heterogeneous Treatment Effects Electronic Health Records
Conditional outlier detection for clinical alerting
May 6, 2026Milos Hauskrecht, Michal Valko, Shyam Visweswaran +3Electronic Health Records Early Warning
Beyond Semantics: An Evidential Reasoning-Aware Multi-View Learning Framework for Trustworthy Mental Health Prediction
May 6, 2026Yucheng Ruan, Ling Huang, Qika Lin +2Mental Health Clinical Prediction
Feature importance analysis for patient management decisions
May 6, 2026Michal Valko, Milos HauskrechtElectronic Health Records Feature Importance
Evidence-based anomaly detection in clinical domains
May 6, 2026Milos Hauskrecht, Michal Valko, Branislav Kveton +2Anomaly Detection Bayesian Networks
FairHealth: An Open-Source Python Library for Trustworthy Healthcare AI in Low-Resource Settings
May 5, 2026Farjana YesminHealthcare Privacy-Preserving Framework
Self-Prompting Small Language Models for Privacy-Sensitive Clinical Information Extraction
May 5, 2026Yao-Shun Chuang, Tushti Mody, Uday Pratap Singh +6Small Language Models Instruction-Tuned Models
EQUITRIAGE: A Fairness Audit of Gender Bias in LLM-Based Emergency Department Triage
May 5, 2026Richard J. Young, Alice M. MatthewsGender Bias Triage
Atomic Fact-Checking Increases Clinician Trust in Large Language Model Recommendations for Oncology Decision Support: A Randomized Controlled Trial
May 5, 2026Lisa C. Adams, Linus Marx, Erik Thiele Orberg +8Clinical Decision Support Trustworthy Artificial Intelligence
From Data Lifting to Continuous Risk Estimation: A Process-Aware Pipeline for Predictive Monitoring of Clinical Pathways
May 5, 2026Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile +1Patient Trajectories Covid-19
TRACE: A Metrologically-Grounded Engineering Framework for Trustworthy Agentic AI Systems in Operationally Critical Domains
May 5, 2026Serhii ZabolotniiTrustworthy Artificial Intelligence Engineering
A Domain Incremental Continual Learning Benchmark for ICU Time Series Model Transportability
May 5, 2026Ryan King, Conrad Krueger, Ethan Veselka +2Intensive Care Unit Prognostics
BIT.UA-AAUBS at ArchEHR-QA 2026: Evaluating Open-Source and Proprietary LLMs via Prompting in Low-Resource QA
May 5, 2026Richard A. A. Jonker, Alexander Christiansen, Alexandros Maniatis +4Domain-Adaptation Benchmark Healthcare
Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data
May 5, 2026He Lyu, Huolin Zeng, Junren Wang +7Multimodal Clinical Data Clinical Prediction
Enhance the after-discharge mortality rate prediction via learning from the medical notes
May 5, 2026Zijiang YangMortality Clinical Notes
CuraView: A Multi-Agent Framework for Medical Hallucination Detection with GraphRAG-Enhanced Knowledge Verification
May 5, 2026Severin Ye, Xiao Kong, Xiaopeng He +2Hallucination Detection Electronic Health Records
Auditing Stealth Sycophancy in Mental-Health Dialogue: Structured Clinical-State Diagnostics and Clean Matched Benchmarks
May 5, 2026Tianze Han, Beining Xu, Hanbo Zhang +1Mental Health Sycophancy
SHIELD: A Diverse Clinical Note Dataset and Distilled Small Language Models for Enterprise-Scale De-identification
May 5, 2026Jose D. Posada, David Love, Somalee Datta +1Anonymization Clinical Notes
ADAPTS: Agentic Decomposition for Automated Protocol-agnostic Tracking of Symptoms
May 4, 2026Alexandria K. Vail, Marcelo Cicconet, Katie Aafjes-van Doorn +2Depression Detection Affective Computing
When Audio-Language Models Fail to Leverage Multimodal Context for Dysarthric Speech Recognition
May 4, 2026Pehuén Moure, Niclas Pokel, Bilal Bounajma +4Dysarthric Speech Automatic Speech Recognition Systems
Foundation Models to Unlock Real-World Evidence from Nationwide Medical Claims
May 4, 2026Fan Ma, Yuntian Liu, Xiang Lan +22Electronic Health Record Foundation Models Noisy Claim Verification
An Empirical Study of Agent Skills for Healthcare: Practice, Gaps, and Governance
May 4, 2026Gelei Xu, Ningzhi Tang, Xueyang Li +4Reusable Agent Skills Healthcare
An explainable hypothesis-driven approach to Drug-Induced Liver Injury with HADES
May 4, 2026Maciej Wisniewski, Bartosz Topolski, Pawel Dabrowski-Tumanski +2Drug-Drug Interactions Clinical Prediction
Gradient Boosted Risk Scores
May 4, 2026Costa Georgantas, Jonas RichiardiGradient Boosted Tree Clinical Prediction
Reliability-Oriented Multilingual Orthopedic Diagnosis: A Domain-Adaptive Modeling and a Conceptual Validation Framework
May 4, 2026Danish Ali, Li Xiaojian, Sundas Iqbal +1Large Language Model Adaptation Large Language Model Reliability
PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments
May 4, 2026Ruoqi Liu, Imran Q. Mohiuddin, Austin J. Schoeffler +10Real-World Clinical Workflows Electronic Health Records
H3: A Healthcare Three-Hop Index for Physician Referral Network Prediction
May 4, 2026Zhexi Gu, Jiaxin Ying, Xu-Wen Wang +1Zero-Shot Link Prediction Clinical Prediction
Personalized Digital Health Modeling with Adaptive Support Users
May 3, 2026Zhongqi Yang, Mahkameh Rasouli, Neda Mohseni +3Personalization Electronic Health Record Foundation Models
ISAAC: Auditing Causal Reasoning in Deep Models for Drug-Target Interaction
May 3, 2026Barbara Tarantino, Sun Kim, Yijingxiu Lu +1Clinical Prediction Diagnostic Benchmark
Class-Aware Adaptive Differential Privacy in Deep Learning for Sensor-Based Fall Detection
May 3, 2026Joydeb Kumar SanaRobust Fall Detection Differential Privacy
ECG-biometrics-bench: A Unified Framework for Reproducible Benchmarking of ECG Biometrics
May 2, 2026Milad ParvanPediatric-Adult Electrocardiogram Alignment Electrocorticography
The grip of grammar on meaning uncertainty: cross-linguistic evidence, neural correlates, and clinical relevance
May 2, 2026Rui He, Claudio Palominos, Samuele Vallisa +16Surprisal High Bigram Repetition Frequency
ReMedi: Reasoner for Medical Clinical Prediction
May 2, 2026Yushi Cao, Yiming Chen, Hongchao Jiang +2Clinical Prediction Electronic Health Records
Artificial intelligence language technologies in multilingual healthcare: Grand challenges ahead
May 2, 2026Vicent Briva-IglesiasMultilingual Safety Healthcare
EFGPP: Exploratory framework for genotype-phenotype prediction
May 2, 2026Muhammad Muneeb, David B. AscherPhenotypes Clinical Prediction
Medmarks: A Comprehensive Open-Source LLM Benchmark Suite for Medical Tasks
May 2, 2026Benjamin Warner, Ratna Sagari Grandhi, Max Kieffer +32Benchmarking Large Language Models Clinical Reasoning

May 11, 2026 · cs.CVJ/K move · Enter open · S save

Med-StepBench: A Hierarchical Reasoning Framework for Evaluating Hallucinations in Medical Vision-Language Models

Minh Khoi Nguyen, Dai Lam Le, Amir Reza Jafari, Tuan Dung Nguyen+7

1AI4LIFE, Hanoi University of Science and Technology, Vietnam · 2SAMOVAR, Télécom SudParis, Institut Polytechnique de Paris, France · Military Central Hospital, Vietnam · 4Hanoi Medical University

Large vision-language models (VLMs) demonstrate strong performance in medical image understanding, but frequently generate clinically plausible yet incorrect statements, raising significant safety concerns. Existing medical hallucination benchmarks primarily focus on 2D imaging with one-shot diagnostic questions, offering limited insight into whether predictions are grounded in correct localization and abnormality identification, allowing critical reasoning errors to remain hidden behind seemingly correct diagnoses. We introduce Med-StepBench, the first large-scale benchmark for step-wise hallucination detection in 3D oncological PET/CT, comprising over 12,000 images and more than 1,000,000 image-statement pairs across volumetric and multi-view 2D data, which decomposes clinical reasoning into four expert-designed diagnostic stages. Using clinician-verified annotations, we perform the first step-level evaluation of general-purpose and medical VLMs, revealing systematic failure modes obscured by aggregate accuracy metrics. Furthermore, we show that current VLMs are highly susceptible to adversarial yet clinically plausible intermediate explanations, which significantly amplify hallucinations despite contradictory visual evidence. Together, our findings highlight fundamental limitations in grounding multi-step clinical reasoning and establish Med-StepBench as a rigorous benchmark for developing safer and more reliable medical VLMs.

Medical Vision-Language Models Robust Hallucination Detection Hallucination Rate Clinical Reasoning Medical Imaging Diagnostic Benchmark Large Vision Language Models

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