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

Unlocking the power of quantum computing in biomedical NLP for lung cancer diagnosis
Cyrille YetuYetu Kesiku, Begonya García-Zapirain, Adel Said Elmaghraby. Quantum Machine Intelligence, 2026. Cites: paper

An end-to-end system for explainable clinical coding across languages and diverse medical data sources
Alicia Ramirez-Arrabe, Juan Martínez-Romo, Andrés Duque. BMC Medical Informatics and Decision Making, 2026. Cites: paper

Evaluating real-world deployment of an HL7-CDA-aligned LLM for ICD-10-CM coding
Hong-Jie Dai, Zhenghao Li, An-Tai Lu et al. npj Digital Medicine, 2026. Cites: paper

Large language model-augmented offline reinforcement learning framework for sepsis management in critical care
Yooseok Lim, Byoungjun Jeon, Seong-A Park et al. npj Digital Medicine, 2026. Cites: paper

Knowledge graph embedding and alignment of incomplete electronic health records for critical care applications
Shervin Mehryar, Michel Dumontier. Journal of Biomedical Semantics, 2026. Cites: paper

A Multi-Channel Atrial Fibrillation Classification Method Based on Six-Direction Cross-Channel Attention Fusion
Song Zeng, Yi Wang. International Conference on Image, Signal Processing and Pattern Recognition (ISPP), 2026. Cites: paper

Association of blood urea nitrogen to serum albumin ratio with mortality in ICU patients with sepsis-induced coagulopathy: A Retrospective Cohort Study from MIMIC-IV database
Mei Li, Huibo Wang, Hua Wang et al. Medicine, 2026. Cites: paper

How Low Can Medical Llms Go? an Empirical Study of Low-Bit Quantization
Tanha Tasfia, Abu Kaisar Mohammad Masum, Emilien Meyer et al. IEEE Dallas Circuits and Systems Conference (DCAS), 2026. Cites: paper

Hybrid Machine Learning Architectures for Emergency Triage: A Systematic Review of Predictive Performance and the Complexity Gradient
JUNAID ULLAH, R Kanesaraj Ramasamy, Venushini Rajendran. BioMedInformatics, 2026. Cites: paper

Impact of kidney dysfunction on outcomes in peripheral artery disease: A multi-database cohort study
Heng Wang, Chaonan Fan, Keyi Fan et al. iScience, 2026. Cites: paper

Towards Quantum-Safe TLS in Healthcare Systems
Farhath Zareen, Jasmin Kaur, Deepti Joshi et al. IEEE Dallas Circuits and Systems Conference (DCAS), 2026. Cites: paper

Blockchain-Enabled Federated Learning: A Survey on System Design, Key Challenges, and Future Directions
Lingzi Zhu, Bo Zhao, Rao Peng. Electronics, 2026. Cites: paper

ULoR: Uncertainty-Aware Leave-One-Out Refinement Framework for Diagnosis Prediction
Jie Zhang, Wanzi Shao, Yanchao Tan. International World Wide Web Conference (WWW), 2026. Cites: paper

ClinicRealm: Re-evaluating large language models with conventional machine learning for non-generative clinical prediction tasks
Yinghao Zhu, Junyi Gao, Zixiang Wang et al. npj Digital Medicine, 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

Multilingual Evidence-Based Question Answering for Stroke Discharge Summaries: Study of Cross-Lingual Heterogeneity in Clinical Reports (Preprint)
Vojtěch Lanz, Aleksis Datseris, Svetla Boytcheva et al. 2026. Cites: paper

Knowledge-Augmented Large Language Model for Multimodal Electronic Health Record–Based Risk Prediction: Development and Validation Study
Rituparna Datta, Jiaming Cui, Zihan Guan et al. JMIR AI, 2026. Cites: paper

A peak-oriented diffusion model for high-fidelity electrocardiogram reconstruction from photoplethysmogram: development and usability study
Hyun-Myung Cho, Sungmin Han, Joon‐Kyung Seong et al. BioData Mining, 2026. Cites: paper

Calculated serum osmolarity distribution in critically ill patients with acute pancreatitis: a retrospective cohort study
Shi-Yan Liu, Hang Ruan, Shu-sheng Li. BMC Gastroenterology, 2026. Cites: paper

What are the ethical, legal and social considerations for recording, sharing and utilizing surgical videos? A thematic analysis and framework to guide stakeholders
Hillary Lia, Yao Liu, Caterina Masino et al. Surgical Endoscopy, 2026. Cites: paper

DCSD-MR: Medication Recommendation Based on Dynamic Constraints and Single-Source Data Driven
Qiang Xu, Keke Zhou, Shengwei Ji. The Journal of Supercomputing, 2026. Cites: paper

RETRACTED: Dynamic trajectories of organ dysfunction in sepsis using the SOFA–2 score and early prediction from multicenter cohorts
R. Y. Zhang, Fang Long, Jingyi Wu et al. Intensive and Critical Care Nursing, 2026. Cites: paper

Distributional Off-Policy Evaluation with Deep Quantile Process Regression
Qi Kuang, Chao Wang, Yuling Jiao et al. Journal of the American Statistical Association, 2026. Cites: paper

Explainable artificial intelligence-based clinical decision support system for early disease diagnosis in smart healthcare
Priyadharshini P P. Journal Healthcare Treatment Development, 2026. Cites: paper

An adaptive differential privacy framework for clinical llms with context-aware noise calibration, hierarchical budgeting, and real-time auditing
Ans D. Alghamdi. Scientific Reports, 2026. Cites: paper

A prediction model for the risk of developing HFpEF during hospitalization in patients with acute myocardial infarction
Zhijie Liu, Yi‐Ming Fan, Yiting Su et al. IJC Heart & Vasculature, 2026. Cites: paper

Constructing a corpus of hematologic pathology notes for the fine-tuning of BERT models for named entity recognition
Desiree Jaschke, Celine-Fabienne Bergmann, Max Christian Blumenstock et al. Computers in Biology and Medicine, 2026. Cites: paper

Identifying important clinical features for post‑cardiac arrest neurological prognostication using clinical BERT
Akhil Kasturi, Ashley R. Proctor, Yunsung Hong et al. SPIE Medical Imaging: Computer-Aided Diagnosis, 2026. Cites: paper

Korean Medical Consultation With Open-Weight Large Language Models: Pilot Comparative Evaluation of Retrieval-Augmented Generation With Metadata Filtering
Saeyoun Choi, Donghyun Kim, Ji-Hwan Jeon et al. JMIR Formative Research, 2026. Cites: paper

A Quarter-Century of Chronic Obstructive Pulmonary Disease in the Intensive Care Unit (2000–2025): A Bibliometric Roadmap of Thematic Evolution and Future Frontiers
Yanyan Chen, Wen Wang. International Journal of COPD, 2026. Cites: paper

Association Between Lactate/Albumin Ratio and Delirium Risk in Critically Ill Patients With Acute Heart Failure: A Retrospective Cohort Study
Wenjuan Yan, Yajuan Wang, Qiulan Wen et al. Clinical Cardiology, 2026. Cites: paper

Commercial or industrial use of mental health data for research: primer and best-practice guidelines from the DATAMIND patient/public Lived Experience Advisory Group
Linda A. Jones, Corrine Barber, Naomi Clements-Brod et al. Frontiers in Psychiatry, 2026. Cites: paper

Enhanced drug recommendation based on dynamic clinical trajectory aggregation and geometry-enhanced molecular representation
Shidi Zhang, Xiaobo Li, Nurbol Luktarhan et al. Expert Systems with Applications, 2026. Cites: paper

Explainability Challenges in Medical AI: The Conceptual Hidden Cost of Machine Learning Preprocessing
Ahmed M. Salih. Health Science Reports, 2026. Cites: paper

Learning multimodal representations for incomplete EHRs with retrieval-augmented personalized modality recovery
Bohao Li, Bowen Du, Junchen Ye. Information Fusion, 2026. Cites: paper

Optimising pain identification in resource-limited emergency departments using transfer learning and fine-tuned language models
Yutong Wu, James A. Hughes, Chantelle Judge et al. Journal of the American Medical Informatics Association, 2026. Cites: paper

Programmable Dataflows: Abstraction and Programming Model for Data Sharing
Siyuan Xia, Chris Zhen Gan Zhu, Tapan Srivastava et al. The VLDB Journal, 2026. Cites: paper

Smart privacy-preserving patient monitoring (SP3M) using IoMT enabled edge-cloud federated learning with blockchain and GNN-autoencoders
Zain Abubaker, Kainat Nazir. Computer Networks, 2026. Cites: paper

Healthcare digital twins: A methodological literature review on integrating iot and AI for personalized medicine and predictive care
Sara Shahnazinia, Mahsa Tavasoli, Abdolhossien Sarrafzadeh et al. Telematics and Informatics Reports, 2026. Cites: paper

Improving few-shot named entity recognition for large language models using structured dynamic prompting with retrieval augmented generation
Yao Ge, Yuting Guo, Sudeshna Das et al. npj Artificial Intelligence, 2026. Cites: paper

Multimodal contrastive prognostication framework for early neurological outcome prediction in post-cardiac arrest patients
Akhil Kasturi, Ashley R. Proctor, Ali Vosoughi et al. Scientific Reports, 2026. Cites: paper

Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text Classification
Nan Li, Bo Kang, Tijl De Bie. Machine Learning, 2026. Cites: paper

A Blockchain-Assisted Holographic Counterparts for Secure Consumer Electronics in Healthcare 4.0
Ashish Kumar, Kakali Chatterjee, Ashish Pratap Singh et al. IEEE Transactions on Consumer Electronics, 2026. Cites: paper

Artificial intelligence applied to care (II): algorithms and applications
Reyes Grangel, María Victoria Ibáñez Gual, Amelia Simó Vidal et al. Enfermería Clínica (English Edition), 2026. Cites: paper

Interpretable machine learning for prognostic prediction in critically ill patients with coronary artery disease: a multicenter study
Shuai Yang, Shuo Zhang, Lianzheng Ma et al. Frontiers in Medicine, 2026. Cites: paper

Machine Learning-Based Prediction of Mortality in Geriatric Traumatic Brain Injury Patients
Yong Si, Junyi Fan, L. Sun et al. BioMedInformatics, 2026. Cites: paper

XAI-driven clinical decision support framework for early detection of chronic diseases in smart healthcare
Abhijith Mohan. Journal Healthcare Treatment Development, 2026. Cites: paper

Evaluating cross-dataset transfer learning for photoplethysmography-based blood pressure estimation
Yoon Chul Kim, Hyun Jae Baek. Scientific Reports, 2026. Cites: dataset, paper

Prediction of in-hospital mortality risk in cardiac arrest patients using machine learning models: a study based on the MIMIC-IV database with external validation from Yunnan University Affiliated Hospital
Ji Dong Jia, Wen Zhang, Hualei Dai et al. BMC Medical Informatics and Decision Making, 2026. Cites: paper

FT-BERT-GAN: an enhanced Feature-Type-Aware BERT (FT-BERT) with GAN for privacy-preserving synthetic text generation
Raman Kumar, Sankaramoorthy Narayanasamy, Chappidi Sreenivasa Rao et al. International Journal of Data Science and Analytics, 2026. Cites: paper

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