Publications citing HiRID, a high time-resolution ICU dataset v1.1.1

Predicting Gram-negative bloodstream infection in elderly patients after isolation of GNB from non-blood specimens: a machine learning-based tool
Xinran Lin, Die Zhang, Ping Jiang et al. Frontiers in Medicine, 2026. Cites: paper

Development and Prospective Validation of Predictive Model for Early Hemodynamic Deterioration in Critical Care: A Multicenter Study
Aditya Nagori, Pradeep Singh, Sameena Firdos et al. medRxiv, 2026. Cites: paper

Early Warning Signals in Ecological Time-Series
Roberto Álvarez-Martínez, Pedro Miramóntes. Entropy, 2026. Cites: paper

AI-Driven Early-Warning System to Predict Multi-Organ Deterioration in Critical Care Patients
Chaitanya Krishna Kasaraneni, Sarmista Thalapaneni. IEEE International Conference on Healthcare Informatics (ICHI), 2026. Cites: paper

Identificação de Fenótipos Clínicos e Desfechos da Transfusão de Hemácias em UTI Baseada em Trajetórias Fisiológicas
Lucas Pimenta Braga, Luísa Barros R. Andrade, Paulo Henrique Cardoso Júnior et al. 2026. Cites: paper

MAP: evaluation and multi-agent enhancement of large language models for inpatient pathways
Zhen Chen, Zhihao Peng, Xusheng Liang et al. npj Health Systems, 2026. Cites: paper

Toward generalizable and interpretable machine learning models in healthcare: Insights from ICU outcome predictions
Lasse Bohlen, Julian Rosenberger, Nico Hambauer et al. Health Care Management Science, 2026. Cites: paper

Artificial Intelligence in Clinical Decision-Making: A Comprehensive Review of Diagnostic, Prognostic, and Therapeutic Applications, Validation Gaps, Bias, and Deployment Challenges
Saurabh S Patil, Gaurav Kumar Jha, Naveed Mohsin et al. Cureus, 2026. Cites: paper

Multi-source data integration through pooling and transfer learning improves generalizability and specialization of deep learning models for ICU mortality and length of stay prediction: a four-database external validation study
Jérôme Allyn, Matthieu Oliver, Raphaël Cerveau et al. Critical Care, 2026. Cites: dataset

Understanding uncertainty in large language model predictions of early death in critically ill patients: a conformal prediction approach
Fatemeh Shah-Mohammadi, Alexander Millar, Julio Cesar Facelli et al. JAMIA Open, 2026. Cites: paper

Development and Application of a Unplanned Extubation Assessment and Clinical Decision Support Information System
Huayu Chen, YANG Xiaowen, Jifang Peng et al. Risk Management and Healthcare Policy, 2026. Cites: paper

Artificial Intelligence for Hemodynamic Monitoring: The Art, Science, and the Machine!
Rohan Magoon. Journal of Cardiac Critical Care TSS, 2026. Cites: paper

A federated learning framework for deep imputation of missing data in heterogeneous ICU time series
Raja Vavekanand, Anwar Ali Sathio, Mujtaba Sultani. Scientific Reports, 2026. Cites: paper

Engineering biomarker representations of vital signs data enhances deep learning mortality prediction
Behrooz Mamandipoor, Isabella Shen, Chun-Nan Hsu et al. Journal of the American Medical Informatics Association, 2026. Cites: paper

Nurses as guardians of time: the hidden clinical value of continuous care in geriatrics
Yanyang Yang, Haihong Wang, Enci Li et al. Frontiers in Public Health, 2026. Cites: paper

Advancing in-hospital mortality prediction for acute myocardial infarction: An analysis from the American Heart Association Get With The Guidelines–Coronary Artery Disease Registry
Juan Zhao, Haoyun Hong, Alexander C. Fanaroff et al. American Heart Journal, 2026. Cites: paper

Stress Mindset Matters: Rethinking Mental Stress Detection with Multimodal Wearable Sensors
Lakmal Meegahapola, Marios Constantinides, Z. Radivojević et al. CHI Conference on Human Factors in Computing Systems, 2026. Cites: paper

Evaluation of domain knowledge-integrated AI system for physiological signal cleansing and professional adoption process
Kyoungsuk Park, Kyoung‐Sun Kim, Kanghee Kim et al. Expert Systems with Applications, 2026. Cites: paper

Artificial intelligence in emergency medicine critical care
Samita M. Heslin, Robert Nocito, Scott D. Weingart. Clinical and Experimental Emergency Medicine, 2026. Cites: paper

Performance fairness of neural network models in early risk assessment of inpatients with varying severity: a retrospective study
Lan Lan, Shixin Huang, Yang Chen et al. BMC Medical Informatics and Decision Making, 2026. Cites: paper

Trajectory-derived discharge readiness signal infrastructure for the intensive care unit: A retrospective evaluation in 94,444 ICU encounters
Steve Biko Onyambu, John M. Litell, Omer W. Sultan. Journal of Critical Care, 2026. Cites: paper

The Impact of Evaluation Strategy on Sepsis Prediction Model Performance Metrics in Intensive Care Data: Retrospective Cohort Study
Dang-Khoa Do, Patrick Rockenschaub, Sebastian Daniel Boie et al. Journal of Medical Internet Research, 2026. Cites: paper

Evaluating deep learning sepsis prediction models in ICUs under distribution shift: a multi-centre retrospective cohort study
Fanny Tranchellini, Youssef Farag, Catherine Ruth Jutzeler et al. npj Digital Medicine, 2026. Cites: paper

Interleukins in community-acquired pneumonia: from biomarkers to precision medicine
Xiaoying Zhang, Tongshuo Zhang, RuiHui Geng et al. Frontiers in Immunology, 2026. Cites: paper

Sepsis insult generates different vascular response phenotypes: an unsupervised time-series clustering preclinical study
Imre Vida, Marta Carrara, Manuela Ferrario. Scientific Reports, 2026. Cites: paper

Artificial intelligence-assisted phenotyping of sepsis: Research progress, clinical challenges, and translational prospects
Hang Ruan, Jing-Kun Lee, Jie Xiong et al. Digital Health, 2026. Cites: paper

Interpretable early mortality prediction in oncology ICU patients: A dual-cohort validation of a LASSO–XGBoost–SHAP framework
Xinyi Chen, Lu Wang, Wan Qin et al. Digital Health, 2026. Cites: paper

Predicting blood transfusion after ICU admission in five databases: A comparison of three machine learning paradigms
Johanna Schwinn, Seyedmostafa Sheikhalishahi, Matthaeus Morhart et al. Digital Health, 2026. Cites: dataset

Representation Learning for Tabular Data: A Comprehensive Survey
Junpeng Jiang, Si-Yang Liu, Hao-Run Cai et al. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026. Cites: paper

Stratifying mortality risk in hypotension using outcome-oriented clustering of vital sign trajectories
Zhuolun Liu, Li Li, Yongmin Zhang et al. iScience, 2026. Cites: paper

Artificial Intelligence Drives Advances in Multi-Omics Analysis and Precision Medicine for Sepsis
Youxie Shen, Peidong Zhang, Jialiu Luo et al. Biomedicines, 2026. Cites: paper

Hämodynamisches Monitoring in der internistischen Intensivmedizin – DGK-Empfehlung
Christian Jung, Uwe Janssens, Sebastian Weyand et al. Die Kardiologie, 2026. Cites: paper

Machine learning-based early warning system for hemodynamic deterioration in cardiovascular ICU patients: a bidirectional cross-validation study
Shicheng Gao, Yunhai Zhang, Menghua Deng et al. Frontiers in Cardiovascular Medicine, 2026. Cites: paper

Application of Foundation Models in Emergency and Critical Care: A Scoping Review
Yanqing Kong, Xinnie Mai, Andrew Meyer et al. Research Square, 2026. Cites: paper

RETRACTED ARTICLE: DynaGraph: interpretable dynamic graph learning for temporal electronic health records
Munib Mesinovic, Soheila Molaei, Peter Watkinson et al. npj Digital Medicine, 2026. Cites: paper

Superior machine learning model for post-cardiac arrest mortality prediction: a MIMIC-IV cohort study
Danxia Chen, Guode Li, Qinqin Shu et al. Resuscitation Plus, 2026. Cites: paper

Towards Personalized Context-aware Bedside Patient Monitoring
Kai Wu, Darius Burschka. IEEE/SICE International Symposium on System Integration (SII), 2026. Cites: paper

Discovery of data quality issues in electronic health records: profound consequences for critical care medicine applications – a systematized review
João Brainer Clares de Andrade, Marconny Alexandre Oliveira de Medeiros Cavalcante, Thiago Luís Marques Lopes et al. Critical Care, 2026. Cites: dataset

A deep learning-based early warning system for renal replacement therapy in the intensive care unit
Behrooz Mamandipoor, Julian McAuley, Martin Krause et al. Research Square, 2026. Cites: paper

A Simulation Model for Common-Mode Mechanical Ventilation Data Generation: Integrating Anthropometric and Disease Parameters for Fully Sedated Patients
Pieter Marx, Henri Marais. Modelling—International Open Access Journal of Modelling in Engineering Science, 2026. Cites: paper

From Bedside to Bytes: Monitor, Model, and Manage with Digital Twins to Unlock Precision Critical Care in the ICU (Preprint)
Ioannis Androulakis, Julie Goswami, Sabiha Hussaim et al. 2026. Cites: paper

Bridging data gaps of rare conditions in ICU: a multi-disease adaptation approach for clinical prediction
Mingcheng Zhu, Yu Liu, Zhiyao Luo et al. npj Digital Medicine, 2026. Cites: paper

Interpretable early warnings using machine learning in an online game-experiment
G. Falmagne, Anna B. Stephenson, Simon A. Levin. Proceedings of the National Academy of Sciences, 2026. Cites: paper

A Clustering-Based Machine Learning Approach for Mortality Prediction in Gastrointestinal Bleeding: Development and Validation
Laith Alomari, Zaid Al-Fakhouri, Jaber Husam Jaradat et al. Gastro Hep Advances, 2026. Cites: paper

An Efficient Interaction Human-AI Synergy System Bridging Visual Awareness and Large Language Model for Intensive Care Units
Yibowen Zhao, Yiming Cao, Zhiqi Shen et al. Lecture notes in computer science, 2026. Cites: paper

A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data
Chenxi Sun, Moxian Song, Derun Cai et al. Health Data Science, 2026. Cites: paper

Artificial Intelligence for Reducing Alarm Fatigue in Hospitals: A Systematic Review
Milla Kosonen. Communications in computer and information science, 2026. Cites: paper

A Variational Recurrent Neural Network with Stochastic Attention for Imputation of Irregularly Sampled ICU Time Series under Non-Random Missingness
Minh Tran, Duc Pham. Journal of Artificial Intelligence for Healthcare Systems, 2026. Cites: paper

Domain generalization and adaptation in intensive care with anchor regression
Malte Londschien, Manuel Burger, Gunnar Rätsch et al. RSS Data Science and Artificial Intelligence, 2026. Cites: paper

Hybrid Feature Selection–Based Approach to Predict Celiac Disease Using Ensemble Machine Learning With Hyperparameter Tuning and Model Explainability
Khandaker Mohammad Mohi Uddin, Md. Tofael Ahmed Bhuiyan, M M Ul Hassan. Journal of Electrical and Computer Engineering, 2026. Cites: paper

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