Publications citing MIMIC-III Waveform Database Matched Subset v1.0

Feasibility of a German High-Frequency Neonatal and Pediatric Intensive Care Dataset (AIx-Neo-Guard Dataset): Secondary Data Cohort Study
Lena Sophie Olivier, Camelia Lauterbach Oprea, André Stollenwerk et al. JMIR Pediatrics and Parenting, 2026. Cites: dataset, paper

PH-AIDE: A Multi-Modal Explainable AI Framework for ICU Risk Stratification and Evidence-Based Public Health Policy Design
Safkat Mustakim Nirjash, Sharmin Akter, Shakim Ahamed et al. Journal of Information Technology Cybersecurity and Artificial Intelligence, 2026. Cites: paper

Remnant Cholesterol Paradox: Higher Levels Are Associated With Reduced Mortality in Critically Ill Patients With Heart Failure
Zhiqiang Zhang, Yanbin Su, Shanshan Tang. Journal of the American Heart Association, 2026. Cites: paper

Artificial intelligence-driven predictive analytics for early detection and risk stratification of cardiovascular disease
N. Muruganandan, P. M. Prathiba, KHYATI RAJESHKUMAR PATEL - et al. International Journal of Research in Medical Sciences, 2026. Cites: paper

Development and Validation of an Interpretable Machine Learning‐Based Clinical Prediction Model for Short‐Term Mortality in Intracerebral Hemorrhage With Thrombocytopenia: A Multicenter Study
Dachang Qiu, Guangwei Li, Ze Wang et al. CNS Neuroscience & Therapeutics, 2026. Cites: paper

Differentially Private Time-Series GAN for Privacy-Preserving Medical Data Generation
Mohammad Adil Rahman Khan, Garima Srivastava, Lalita Kumari. Information systems engineering and management, 2026. Cites: paper

TabularQGAN: a quantum generative model for tabular data synthesis
Pallavi Bhardwaj, C. R. Jones, Lasse Dierich et al. Scientific Reports, 2026. Cites: paper

Machine learning models for predicting multidrug-resistant organism infections after invasive procedures in intensive care unit patients: a retrospective study based on the MIMIC-IV database
Zhenwei Li, Shengyi Yang, Mengmeng Wang et al. Research Square, 2026. Cites: paper

Modular Differentiable Explanations for Markov Disease Models: A Transparent Framework for Clinical Decision Support
Virendra Tiwari. Research Square, 2026. Cites: paper

Development and Validation of An Interpretable Risk Prediction Model for In-Hospital Mortality in Diabetic Patients with Congestive Heart Failure in Intensive Care Unit
Xinjiang Hou, Guaijuan Wang, Sikandar Hayat. Research Square, 2026. Cites: paper

Explainable deep learning for early sepsis detection from ICU time-series data using XAI techniques
Anas Mahmoud, Hamza Abdelmoreed, Hossam Amir et al. Scientific Reports, 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

Propensity-guided unbalanced optimal transport for acquisition-aware incomplete multimodal clinical prediction
Yulong Chen, Qi Zhang, Wenzhe Liu et al. Information Fusion, 2026. Cites: paper

Optimal treatment for sepsis patients using the risk-adjusted Markov decision process model with the critical state probability
Kwang Hyeon Lim, Chuljin Park, Mi Lim Lee. Operational Research, 2026. Cites: paper

DEEP LEARNING-BASED PREDICTION OF SHORT-TERM ACUTE KIDNEY INJURY RISK IN ICU HYPERTENSIVE PATIENTS
YONGCHAO WANG, Xiaolei Feng, Cong Chen. Journal of Mechanics in Medicine and Biology, 2026. Cites: paper

Gold-standard-guided direct preference optimisation for ICD-10-AM and ACHI code assignment from discharge summaries
Rajvir Kaur, Jeewani Anupama Ginige, Oliver Obst. BMC Medical Informatics and Decision Making, 2026. Cites: paper

Tutorial: guidance on the use of large language models for medical research
Qiao Jin, Nicholas Wan, Robert Leaman et al. Nature Protocols, 2026. Cites: paper

PRESTIGE: Prevalence estimation for interactive guesstimates
Koen Dercksen, Arjen P. de Vries, Bram van Ginneken. Artificial Intelligence in Medicine, 2026. Cites: paper

Large language models for interpretation of health checkup results
Jiwon You, Hang‐Sik Shin. npj Digital Medicine, 2026. Cites: paper

Medication mapping and diagnosis enhancement for fine-grained medication recommendation
Yishuo Li, Qi Zhang, Shoujin Wang et al. Information Sciences, 2026. Cites: paper

Counterfactual Interventional Reliability of Pulse Arrival Time in Wearable ECG-PPG-IMU Systems Under Structured Motion Artifacts
Dwi Sabda Budi Prasetya, Pratondo Busono, Edy Supriyanto et al. Research Square, 2026. Cites: paper

CRIT AI 4.0: A Locally Deployable Artificial Intelligence System for Mortality Risk Stratification and Clinical Decision Support in Intensive Care Units
Pratik kumar Mitra. Indian Journal of Critical Care Medicine, 2026. Cites: paper

MedNLI-Pain benchmarks a minimally necessary requirement for large language model alignment
Christopher Wong, Divy Kumar, Amiin Muse et al. JAMIA Open, 2026. Cites: paper

Multi-scale State-Space Hemodynamic Encoding for Cuffless Blood Pressure Estimation
Qingxin Zhao, Huimin Lu, Mengran Tang et al. Communications in computer and information science, 2026. Cites: paper

Anonymization of Portuguese Clinical Notes Using Large Language Models and Quantum-Enhanced Hybrid Architectures: Comparative Evaluation Study
Samer Rahmeh, Felipe Meneguitti Dias, Ramon Alfredo Moreno et al. Journal of Medical Internet Research, 2026. Cites: paper

Development and External Validation of an Interpretable Machine Learning Framework for Predicting Pneumothorax-Associated Acute Kidney Injury: A Multicenter Retrospective Study
Golden Pan, Jingli Fan, Wenhao Wang et al. Journal of Clinical Medicine, 2026. Cites: paper

LLM-assisted clinical coding audit through an interpretable coding pipeline
Supriya Khadka, Xiaorui Jiang, Vasile Palade. International Journal of Medical Informatics, 2026. Cites: paper

Recent Advances in AI for Automated ICD Coding: A Systematic Literature Review
Abdul Rehman Khalid, Haider Ali, Kounen Fathima et al. Journal of Medical Systems, 2026. Cites: paper

Knowledge Graphs vs. SQL over Structured EHR Data
Leonidas Anagnou, Andreas Vezakis, Ioannis Vezakis et al. Future Internet, 2026. Cites: paper

MedTime-LLM-FGL: Multi-Scale Query Refinement with Future-Guided Learning for Medical Time Series Forecasting
Zhen Zhang, Chenyu Xiao, Ji Ma et al. Lecture notes in computer science, 2026. Cites: paper

A Misaligned Multi-modal Clinical Time Series Representation Learning Framework for In-Hospital Mortality Prediction
Tianyu Wang, Guanglei Cai, Lin Guo et al. Lecture notes in computer science, 2026. Cites: paper

MCAF: Improving Mortality Risk Prediction Using Multimodal Learning with Balanced Pre-training and Correlation-Aware Fusion
Abdulrahman Al-badwi, Chengchao Shen, Abdulrahman Al-Dailami et al. Lecture notes in computer science, 2026. Cites: paper

CauMed: Causal Graph-Based Reasoning for Medical QA
Pann Narknoi, Cong-Tinh Dao, Tai Tan Phan et al. Lecture notes in computer science, 2026. Cites: paper

Geriatric syndromes extraction from discharge summaries: a new dataset, annotation scheme and initial findings
Imane Guellil, Salomé Andres, Atul Anand et al. Frontiers in Digital Health, 2026. Cites: paper

GraphDiffMed: Knowledge-Informed Differential Attention with Pharmacological Graph Priors for Medication Recommendation
Krati Saxena, Tomohiro Shibata. IFIP advances in information and communication technology, 2026. Cites: paper

Zero-Shot Multi-Label Text Classification Using Heterogeneous Encoder-Decoder Models
Panos Petropoulos, Alex Kaiserlis, Efstathios Stamatatos. IFIP advances in information and communication technology, 2026. Cites: paper

Combinatorial Medication Recommendation via Temporal-Aware Multi-objective Optimization
Ruobing Wei, Yichun Guan, Qingxia Shang et al. Lecture notes in computer science, 2026. Cites: paper

CARES: Clinical Evidence-linked, Role-aware, and Safety-conscious Medication Recommendation
Kai He, Jianhao Liu, Zeyu Gao et al. ACM Turing Award Celebration Conference - China (ACM TURC), 2026. Cites: paper

A Systematic Review of Deep Learning and Machine Learning Applications in Longitudinal Multimodal Clinical Data
Jinqian Pan, Tienyu Chang, Mengxian Lyu et al. Journal of Healthcare Informatics Research, 2026. Cites: paper

Natural Language Processing Applied to Psychiatric Clinical Notes: Scoping Review
Shuying Rao, X. R. Chen, Guifeng Deng et al. JMIR Medical Informatics, 2026. Cites: paper

Phenotyping antidepressant treatment response with deep learning in electronic health records
Yi-han Sheu, Colin Magdamo, Matthew R. Miller et al. Translational Psychiatry, 2026. Cites: paper

RES-MR: Risk-Aware Reasoning for Explainable and Safe Medication Recommendation
C Wang, Jin Li, Shoujin Wang et al. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2026. Cites: paper

A collaborative enhanced prediction model with medical knowledge for clinical time series
Ying An, Yinghong Shi, Qixuan Peng et al. Engineering Applications of Artificial Intelligence, 2026. Cites: paper

A prognostic tool for pulmonary collapse: nomogram-based prediction of 28-day mortality
Xinming He, Wenchong Yu, Yuling Li et al. Frontiers in Big Data, 2026. Cites: paper

Effect of Proton Pump Inhibitors on the Development of Acute Kidney Injury in Critically Ill Patients: A Clinical Trial Emulation
Henry Oliveros, Jessica Barrera, Eduardo Tuta-Quintero et al. Research Square, 2026. Cites: paper

Large language model-generated clinical summaries in emergency departments: A blinded comparison study
Niloufar Golchini, Nikita Mehandru, Ahmed M. Alaa et al. PLOS Digital Health, 2026. Cites: paper

NG-SAC-M: Nash-guided SAC with migration for IoT healthcare
Naila Bouchemal, Nada Zendaoui, Naila Bouchemal. Computer Networks, 2026. Cites: paper

Graph representation and learning for drug administration prediction
Simone Cammarasana, Giuseppe Patanè. BMC Medical Informatics and Decision Making, 2026. Cites: paper

Machine learning prediction of 30-day mortality in adults with a positive blood culture
Ivan Maray, Pablo Valledor, Javier Fernández. Enfermedades Infecciosas y Microbiología Clínica, 2026. Cites: paper

Uncertainty-calibrated adaptation of clinical transformer foundation models enhances in-hospital mortality and hospital readmission prediction
Pei-Hung Chung, Byung-Jun Yoon. npj Health Systems, 2026. Cites: paper

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