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

Pretraining on Adult ICU Data Accelerates Data Efficient AI Model Development in Critically Ill Children
Yuxuan Liu, Jake Ormond, Emma C Alexander et al. Research Square, 2026. Cites: dataset

Hemodynamic Patterns Relative to Vasopressin Initiation and Subsequent Septic Shock Progression in Children: A Retrospective Cohort, 2020–2023
Ben Gelbart, Gabby Hall, Bradley G. Carter et al. Pediatric Critical Care Medicine, 2026. Cites: paper

Evaluating Intensive Care Unit Patient Trajectory Representations Using a Temporal Entity-Attribute-Value Schema: a Retrospective Multicenter Benchmarking Study (Preprint)
Dimitrios Proios, Alban Bornet, Yamil Vindas et al. 2026. Cites: dataset, paper

Feature-token clinical transformer for 24-h landmark mortality risk stratification in critically ill patients with heart failure: development and multicenter external validation
Mianxian Li, Yuefei Zhou, Chun Li. Frontiers in Cardiovascular Medicine, 2026. Cites: paper

The future of ICU alarm management: From noise to intelligence
Daniel Joseph E. Berdida, Azizeh Khaled Sowan. Intensive and Critical Care Nursing, 2026. Cites: paper

Oliguria, renal function, hemodynamics, and acid-base abnormalities with 0-48-hour urine-fluid trajectories for mortality risk stratification in acute myocardial infarction: a retrospective MIMIC- IV study
Yao Zheng. Research Square, 2026. Cites: paper

Benchmarking imputation methods on real-world clinical time series with simulated spatio-temporal missingness
Niklas Giesa, Rustam Zhumagambetov, Maria Sekutowitcz et al. Nature Communications, 2026. Cites: dataset, paper

CardioKGImpute: A Knowledge-Graph-Guided Imputation of Multivariate ICU Time Series
Gabriel Barros, Laura Froede, Luis Felipe Pimenta et al. Lecture notes in computer science, 2026. Cites: paper

Development and validation of VentPilot: an AI-based recommendation system for mechanical ventilation
Hong Yeul Lee, Gaon An, Yeonwoo Jeong et al. Journal of Intensive Care, 2026. Cites: dataset

Temporal clinical features for 24-hour landmark prediction of in-hospital mortality in ICU patients with diabetic neuropathy: A MIMIC-IV study
Janet Sanjaya, Sakshie Pathak, Yong Si et al. Informatics in Medicine Unlocked, 2026. Cites: paper

Digital Twins and Offline Reinforcement Learning for Mechanical Circulatory Support Decisions: What the Current Evidence Can and Cannot Support
Oscar Mingtian Li, Yijiang Li, Summer Xia Tian Li. Cureus, 2026. Cites: dataset, paper

Temporal patterns of respiratory rate exposure and mortality in critically ill patients: a retrospective multi-database cohort study
Jingqing Xu, Min Li, Zhulin Wang et al. Frontiers in Medicine, 2026. Cites: paper

Proactive Prediction of Alarms in Hemodialysis Machines: A Comparative Evaluation of AI Models for Clinical Prognostic Support
Alessia Nicosia, Nunzio Cancilla, Marco Siino et al. Diagnostics, 2026. Cites: paper

Exposure-based stratification of postoperative complications in major cardiac surgical procedures: a retrospective cohort study using the MOVER database
Ruining Li. Frontiers in Cardiovascular Medicine, 2026. Cites: paper

Machine Learning and High-Fidelity Data in Medicine and Surgery
Rohit S. Loomba, Saul Flores, Izzet Turkalp Akbasli et al. IntechOpen eBooks, 2026. Cites: paper

A machine learning prediction model and online calculator for postoperative recurrence of secondary hyperparathyroidism: A dual-center development and validation study
Runmin Cao, Yurun Zhang, Ling Cao et al. International Journal of Medical Informatics, 2026. Cites: paper

Core Competencies for Emergency Hybrid Operating Room Nursing A Combined Delphi and Analytic Hierarchy Process Study
陈琳磊, Youqing Tang, Xiaofang Pan et al. Research Square, 2026. Cites: paper

Evaluating the generalisability of LiSep LSTM for early prediction of septic shock across US and european cohorts
Hong K. Tan, Logan Froese, Daniel Wilhelms et al. Scientific Reports, 2026. Cites: paper

P-WIN deployment: real-time personalized machine learning to predict critical deterioration in a pediatric intensive care unit
Eamonn Tweedy, Sanjiv D. Mehta, Sachin Grover et al. JAMIA Open, 2026. Cites: paper

Generalization, Cross-ICU Transfer, and Explainability of a Mortality and Time-to-Discharge Framework for the Intensive Care Unit
Àlex Pardo, Josep Gómez, Julen Berrueta et al. Journal of Clinical Medicine, 2026. Cites: paper

Cardiogenic Shock Systems of Care Best Practices. Part 2: The Shock Team and Inpatient Management
Kari L. Gorder, Michael Lauria, William Hallinan et al. US Cardiology Review, 2026. Cites: paper

An Interpretable MACD–SCDM Framework for Sepsis Risk Modeling from Longitudinal Laboratory Trajectories
Charles Okanda Nyatega, Mohammed Jajere Adamu. Electronics, 2026. Cites: paper

A Recovery-Focused Framework for the Management of Cardiogenic Shock
Christos P. Kyriakopoulos, Iosif Taleb, Rana Hamouche et al. Circulation Heart Failure, 2026. Cites: paper

Dynamic Clinical States and Transitions During the First 72 Hours of Intensive Care After Acute Stroke
Ping LEI, Yanyi Xu, Yuxia Zhang. medRxiv, 2026. Cites: paper

Early versus late mortality among fatal trauma cases: a comparative analysis using statistical methods and machine learning algorithms
M. Fevzi Esen, Tutku Tuncalı Yaman. Emergency Care Journal, 2026. Cites: paper

Intelligent Lung Support in the Intensive Care Unit (IntelliLung): study protocol for an international observational, prospective, multicentre study
Raphael Theilen, Robert Huhle, Martin Scharffenberg et al. BMJ Open, 2026. Cites: paper

Intensive Monitoring, Big Data, and Artificial Intelligence in Critical Care
Daniel I. Rzewnicki, Sivasubramanium V. Bhavani. Critical Care Clinics, 2026. Cites: paper

Protocol for the National Data Stream-IICU: a multicenter Swiss platform integrating multimodal clinical and pathogen data for personalized prediction of infection-related outcomes in intensive care
Catherine Ruth Jutzeler, Karsten Michael Borgwardt, Nora C. Toussaint et al. CMI Communications, 2026. Cites: paper

From promise to practice: digital health through the lens of neonatal care
Gabriel Fernando Todeschi Variane, Danieli Mayumi Kimura Leandro, Marcelo Jenné Mimiça et al. The Lancet Regional Health - Americas, 2026. Cites: paper

Birds with more feathers gather their flocks together: The power of status in information-sparse environments
Ho-Chun Herbert Chang, Mingxuan Liu, Sukyoung Choi et al. Computers in Human Behavior Reports, 2026. Cites: paper

ICU Open-Access Databases for Artificial Intelligence in Sepsis: Balancing Innovation With Data Quality Challenges
Joanne Jegou, Ioana Manolescu, Stéphane Ruckly et al. Critical Care Medicine, 2026. Cites: paper

Artificial Intelligence for Early Heart Disease Prediction: A Review of Machine Learning Techniques
Hanna Rasheed, Arya.K.R Arya.K.R, Ashida.K.A Ashida.K.A. International Journal of Technology & Emerging Research, 2026. Cites: paper

Evaluating Time-Dependent Risk Trajectories Through Class–Cluster Alignment
Sergej Korlakov, Boris Thome, Stefan Conrad. Lecture notes in computer science, 2026. Cites: paper

Development and External Validation of a Multimodal Artificial Intelligence Mortality Prediction Model of Critically Ill Patients Using Multicenter Data
Behrooz Mamandipoor, Chun-Nan Hsu, Martin Krause et al. Anesthesiology, 2026. Cites: paper

Explainable artificial intelligence in ICU admission prediction for methanol poisoning patients: a comparative study of deep and machine learning models
Mohammad Reza Afrash, Mitra Rahimi, Khadijeh Moulaei et al. International Journal of Emergency Medicine, 2026. Cites: paper

AI for Health Care Quality and Patient Safety: Scoping Review of Diagnostic, Predictive, and Decision Support Applications
Yang Xu, Jeremy Henri Maurice Veillard, Jude Dzevela Kong. Journal of Medical Internet Research, 2026. Cites: paper

Left Atrial Volume as Predictor of Recurrence After Pulmonary Vein Isolation
Mario Mekhael, Han Feng, Omar Kreidieh et al. JACC Advances, 2026. Cites: paper

The Shock Clock in AMI-CS: Clinically Anchored Dynamic Bayesian and Machine-Learning Risk Modelling Across MIMIC-IV and eICU
Tianyi Yu. Research Square, 2026. Cites: paper

Artificial intelligence for decision-making in healthcare: A critical review of decision-maker-governed hybrid systems across clinical, operational, and policy settings
Abtin Ijadi Maghsoodi, J Kurz, Ross A Lawrenson et al. Health Policy and Technology, 2026. Cites: paper

Haemodynamic intolerance at the de-resuscitation decision in critically ill adults: development, temporal and external validation of a prediction model across two intensive care databases
Lujun Shao, Yue Li, Cheng Xu et al. Research Square, 2026. Cites: paper

Multiple organ dysfunction syndrome: molecular mechanisms and therapeutic strategies
Xuan Xu, Jinwen Chen, Yuqing Feng et al. Signal Transduction and Targeted Therapy, 2026. Cites: paper

Real-time prediction of atrial fibrillation in intensive care unit: a meta-learning approach
Mehran Moazeni, Sebastian Mildiner Moraga, Maaike Wösten et al. JAMIA Open, 2026. Cites: paper

Risk-Aware Prioritization of Pharmacy Prescription Queues
Pavitra Mohandas, Sudesh Kumar Santhosh Kumar, Saiharshith Karuneegar Ramesh. International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2026. Cites: paper

ED-MERGE: A Dynamic Multimodal Framework for Early Risk Stratification in the Emergency Department with External Validation
Feng Xie, Xinrui Xiong, Xinnie Mai et al. Research Square, 2026. Cites: paper

Evaluation of the ROX index for predicting intubation in ICU patients
Alessandra Angelucci, Andréa Aliverti, Ilaria Pradella et al. International Journal of Medical Informatics, 2026. Cites: paper

Assessment of cerebral hemodynamics in patients with acute brain injury: a group-based multivariate trajectory approach
Hai Zhou, C Chen, Hui Zheng et al. Frontiers in Neurology, 2026. Cites: paper

Causally-informed deep learning towards explainable and generalizable outcome prediction in critical care
Yuxiao Cheng, Xinxin Song, Ziqian Wang et al. Artificial Intelligence in Medicine, 2026. Cites: paper

Continuous predictive mortality risk monitoring after allogeneic hematopoietic stem cell transplantation
Nick Rucks, Sergej Korlakov, Sebastian Alexander Scharf et al. Scientific Reports, 2026. Cites: paper

Technology use in pediatric cardiovascular surgery intensive care nursing: a qualitative study
Aydın Nart, Meltem Aslan. BMC Nursing, 2026. Cites: paper

Synthetic data generation: challenges and perspectives for gastrointestinal medicine
Panagiota Gatoula, Dimitris K. Iakovidis, Dimitrios E. Diamantis et al. Nature Reviews Gastroenterology & Hepatology, 2026. Cites: dataset

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