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

The role of artificial intelligence in predicting COPD exacerbations using multimodal data: a systematic review
Christelos Kapatais, Theofanie Karaoulani, Anastasia Papanikolaou et al. ERJ Open Research, 2026. Cites: paper

A comparative evaluation of handling missing data points and modalities in electronic health records
Aashish Bhandari, Sonika Tyagi. International Journal of Medical Informatics, 2026. Cites: paper

A gradual coarse-to-fine framework for irregularly sampled multivariate time series analysis
Jiexi Liu, Meng Cao, Songcan Chen. Science China Information Sciences, 2026. Cites: paper

Generalized Label-Free Artefact Cleaning for Real-Time Medical Pulsatile Time Series
Xuhang Chen, Ihsane Olakorede, Stefan Yu Bögli et al. IEEE Transactions on Biomedical Engineering, 2026. Cites: paper

Hybrid deep learning framework for accurate classification of high dimensional genomic data
Manas Kumar Swain, Narendra Kumar Kamila, Lambodar Jena et al. Scientific Reports, 2026. Cites: paper

Large Language Models in Radiologic Numerical Tasks: A Thorough Evaluation and Error Analysis
Ali Nowroozi, Masha Bondarenko, Adrian Serapio et al. Journal of Imaging Informatics in Medicine, 2026. Cites: paper

Perspective Chapter: Quality Assurance in Unstructured Data – Challenges, Methods, and Practical Frameworks
Dinh Tuan Tran. IntechOpen eBooks, 2026. Cites: paper

Analysis of the Correlation Between Perioperative Temperature Trajectory and All-Cause Mortality in Elderly Cardiac Patients
Yujie Fan, Hao Yuan, Zefeng Yang et al. Research Square, 2026. Cites: paper

HeteroMed: a heterogeneous graph knowledge-enhanced model for medication recommendation
Xuelei Yin, Mengzhu Liu, Zaiquan Dong et al. Health Information Science and Systems, 2026. Cites: paper

Modernizing Data Quality: Evolving Dimensions for Unstructured Text Data in Big Data, AI and Ethical Contexts
Ning Wang, Seong-Gyun Leem. IntechOpen eBooks, 2026. Cites: paper

Clinician preferences for explainable AI in critical care: a comparative study of interpretable models and visualizations for intubation decision support
Tiantian Xian, Nikolay Mehandjiev, Panos Constantinides et al. International Journal of Medical Informatics, 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RETRACTED ARTICLE: DynaGraph: interpretable dynamic graph learning for temporal electronic health records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

Comparative Evaluation of Large Language Models and Quantum-Enhanced Hybrid Architectures for Medical Text Anonymization (Preprint)
Samer Rahmeh, Felipe Meneguitti Dias, Ramon Alfredo Moreno et al. 2026. Cites: paper

Enhancing Clinical Note Generation with ICD-10, Clinical Ontology Knowledge Graphs, and Chain-of-Thought Prompting Using GPT-4
Ivan Makohon, Mohamad Najafi, Jian Feng Wu et al. Journal of Computational Biology, 2026. Cites: paper

Integrating knowledge graph embeddings with clinical data: A case study on Acute Kidney Injury prediction
Samuele Buosi, Mohan Timilsina, Conor S. Judge et al. Informatics in Medicine Unlocked, 2026. Cites: paper

Towards active participant centric vertical federated learning: Some representations may be all you need
Jon Irureta, Jon Imaz, Aizea Lojo et al. Knowledge-Based Systems, 2026. Cites: paper

Development of Machine Learning Models to Predict 28-Day Mortality in Patients with Sepsis-Associated Liver Injury
Yupeng Li, Junyi Fan, Kamiar Alaei et al. BioMedInformatics, 2026. Cites: paper

Real-time prediction of ventilator-associated pneumonia onset in ICU: development of a dynamic machine learning model
Simone Zappalá, Lucrezia Rovati, Francesca Alfieri et al. Journal of Anesthesia Analgesia and Critical Care, 2026. Cites: paper

RFDR: a retransmission-free data reconstruction framework for emergency response networks
Yayong Shi, Weidang Lu, Nan Zhao et al. Science China Information Sciences, 2026. Cites: paper

AI-driven integration of imaging and radiology language improves stroke mortality prediction
Albara Alotaibi, Abdalla Sayed Abdelrakib Moustafa, Laith Abualloush. Frontiers in Neurology, 2026. Cites: paper

Biomedical text summarization with large language models: methodologies, challenges, and future directions
Shafiya Mushtaq, K. Veningston. International Journal of Data Science and Analytics, 2026. Cites: paper

Natural language processing applied to psychiatric clinical notes: Scoping review (Preprint)
Shuying Rao, Xi'ang Chen, Guifeng Deng et al. 2026. Cites: paper

Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review
Yu Fang, Hao Miao, Yuxuan Liang et al. IEEE Transactions on Knowledge and Data Engineering, 2026. Cites: paper

The evolving landscape of few shot learning in medical image diagnosis a scoping review
Gauhar Ali, Sajid Shah, Mohammed AElAffendi et al. Discover Applied Sciences, 2026. Cites: paper

HyDaST: Mortality risk prediction via EHR-hypergraph and dual-scale temporal pattern extraction
Wenxiang Li, K L Eddie Law. Information Sciences, 2026. Cites: paper

Assessment of the integrity of real-time electronic health record data used in clinical research
Jessica Liu, Sameer Pandya, Andreas C. Coppi et al. PLoS ONE, 2026. Cites: paper

Extracting structured data from unstructured breast imaging reports with transformer-based models
Mikel Carrilero-Mardones, Jorge Pérez‐Martín, Francisco Javier Díez et al. Frontiers in Digital Health, 2026. Cites: paper

Neural Bandit Based Optimal LLM Selection for Pipeline of Tasks
Baran Atalar. ACM SIGMETRICS Performance Evaluation Review, 2026. Cites: paper

A survey on group fairness in federated learning: challenges, taxonomy of solutions and directions for future research
Teresa Salazar, Helder Jesus Araújo, Alberto Cano et al. Artificial Intelligence Review, 2026. Cites: paper

Reduction of motion artifacts from photoplethysmography signals using learned convolutional sparse coding
Giulio Basso, Xi Long, Reinder Haakma et al. Physiological Measurement, 2026. Cites: paper

Generative conditional missing imputation networks
George Sun, Yi‐Hui Zhou. International Journal of Data Science and Analytics, 2026. Cites: paper

Minimal Gain in Prognostic Certainty for Patients With Hematologic Malignancies Over 2 Weeks of Intensive Care: An Analysis to Inform Time-Limited Trials
Martijn Otten, Brittney A van der Woude, Bob J.H. van Kempen et al. Critical Care Medicine, 2026. Cites: paper

Prediction of Chronic Obstructive Pulmonary Disease Using Machine Learning, Clinical Summary Notes, and Vital Signs: A Single-Center Retrospective Cohort Study in the United States
Sabrina Meng, Hersh Sagreiya, Negar Orangi-Fard. Advances in respiratory medicine, 2026. Cites: paper

Transforming Healthcare Through Data Analytics: Toward a Safer, Smarter, and More Secure Health System
Sajidul Islam Khan, Marzia Rahman, Emran Hossain et al. International Conference on Mobile Computing and Sustainable Informatics (ICMCSI), 2026. Cites: paper

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

Artefacts in continuous neuromonitoring
Xuhang Chen, Stefan Yu Bögli, Ihsane Olakorede et al. Nature Reviews Bioengineering, 2026. Cites: paper

Holistic AI in medicine; improved performance and explainability
Periklis Petridis, Georgios Margaritis, Vasiliki Stoumpou et al. npj Digital Medicine, 2026. Cites: paper

Large Language Models’ Performances regarding logical observation identifiers names and codes mapping in laboratory medicine: A comparative analysis of ChatGPT-4.0, Gemini, and Perplexity
Shinae Yu, Eun‐Jung Cho, Sollip Kim et al. International Journal of Medical Informatics, 2026. Cites: paper

SmartWear: real-time Edge AI for personalized health monitoring in chronic disease management
Soha Rawas, Agariadne Dwinggo Samala, Santiago Criollo-C. Informatics for Health and Social Care, 2026. Cites: paper

Integrating Bayesian Inference and Machine Learning to Evaluate TAP and Trypsin-2 as Early Biomarkers of Systemic Inflammation in Acute Pancreatitis
Alina Calin Frij, Cristian Velicescu, Andrei Andone et al. Medicina, 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

Development and validation of a machine learning-based prediction model for thrombocytopenia following cardiopulmonary bypass
Shan Guo, Xuping Cheng, Xuandong Jiang et al. Scientific Reports, 2026. Cites: paper

Data-Driven Knowledge Transfer in Batch Q * Learning
Elynn Chen, Xi Chen, Wenbo Jing. Journal of the American Statistical Association, 2026. Cites: paper

A Comprehensive Analysis of Advancements in Medical Decision Support Systems
Saumya Mehra, Bhawna Jain, Drishti Rani et al. Lecture notes in networks and systems, 2026. Cites: paper

A Configuration-Level Comparative Evaluation of Workflow Bundles for Source-Grounded Academic PDF Analysis
Ayush Yajnik, Sriharsha Anand Pushkala. IEEE Access, 2026. Cites: paper

A Continuous-Time On-Device Federated Learning Network
Yimin Dai, Rui Tan. IEEE Transactions on Networking, 2026. Cites: paper

Adaptive Lipschitz Constant Learning for PPG Signal Denoising: A Data-Driven Regularization Approach
Shang-Wei Chao, Feng‐Li Lian. IEEE Transactions on Instrumentation and Measurement, 2026. Cites: paper

Adaptive, Multi-Objective Dingo Optimization for Real-Time Dimensionality Reduction and Critical Feature Selection in WBAN-Based Health Monitoring Systems
Fatimah Alghamdi, Fuad Bajaber. IEEE Access, 2026. Cites: paper

A Domain-Specific Framework for Priority-Based Modeling and Optimization of Non-Functional Requirements Beyond Binary Constraints
Anirban Bhar, Sankhayan Choudhury, Sabnam Sengupta et al. IEEE Access, 2026. Cites: paper

Advanced Topics for Adopting Cloud and AI for Life Sciences Research
Zhong Wang, Adrish Sannyasi, Jonathan Jiang. Springer eBooks, 2026. Cites: paper

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