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

Large Language Models for Explainable Medical Text Summarization: A Systematic Literature Review
Aleka Melese Ayalew, Md Rabiul Hasan, Tapio Seppänen et al. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, 2026. Cites: paper

MIMIC-III-Ext-PPG, a PPG-based Benchmark Dataset for Cardiovascular and Respiratory Signal Analysis
Mohammad Moulaeifard, Marie Kutscher, Philip J. Aston et al. Scientific Data, 2026. Cites: dataset

Distributed Learning for ICU Length-of-Stay Prediction: A Comparative Study of FedAvg vs D-PSGD Using MIMIC-IV
H. Ridhwan, K Hassan, H Hashim. IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE), 2026. Cites: paper

A Hybrid Deep Learning Model Combining Tabular Transformers and Temporal Convolutional Network for Sepsis Prediction
Sona G, Anitha D., Narmatha B. Journal of Innovative Image Processing, 2026. Cites: paper

A machine learning-based prediction model for in-hospital mortality in ICU patients with acute rhinosinusitis: A multi-database study using SHAP interpretability
Manxiang Sun, L Wang, Jing Yang. Medicine, 2026. Cites: paper

Assessing the albumin–bilirubin score’s role in predicting the mortality rate of severe acute pancreatitis: A multicenter retrospective cohort study
Baiyan Xu, Huizhong Chen, Tingting Xu et al. Medicine, 2026. Cites: paper

CM-CGNS: Cross-modal clustering-guided negative sampling for self-supervised joint learning from medical images and reports
Libin Lan, Hongxing Li, Zunhui Xia et al. Expert Systems with Applications, 2026. Cites: paper

From Heuristics to Deep Generative Models: A Critical Review of Protein Sequence Analysis Architectures for Clinical Decision Support Systems (CDSS)
Faezeh Rahimzadeh, Leyli Mohammad Khanli, Pedram Salehpour et al. Expert Systems with Applications, 2026. Cites: paper

Predictive Analytics of Lifestyle Cardiovascular diseases for Early Risk Identification using AI/ML
Vaishnavi M. Sarad, Mahendra Pund, Dhiraj P. Tulaskar. International Conference on Innovations in Communication, Geoscience and Robotics (ICICGR), 2026. Cites: paper

AI-driven Natural Language Processing and Stochastic Modeling for Transforming Unstructured Electronic Health Records into Structured Clinical Data
Philip Melo, Marie Rose, Mildred Jackson et al. American Journal of Life Sciences, 2026. Cites: paper

Beyond antimicrobials: a host-directed precision pharmacotherapy framework for septic shock
Xian-zhi Cheng, J Li, Ping An et al. Frontiers in Medicine, 2026. Cites: paper

Decoding the multimodal maze: A systematic review on the adoption of explainability in multimodal attention-based models
Md. Raisul Kibria, Sébastien Lafond, Janan Arslan. Information Fusion, 2026. Cites: paper

MANNERS: A strategy for representation learning in multivariate datasets with high proportions of missing data
Louis Bellmann, Maximilian Nielsen, Philipp Breitfeld. Patterns, 2026. Cites: paper

Adaptive physiological subspace reorganization and hemodynamic feature encoding for cuffless blood pressure estimation from photoplethysmography
Qingxin Zhao, Zexing Zhang, Huimin Lu. Digital Signal Processing, 2026. Cites: paper

AI-Driven Deep Learning Model for Photoplethysmography (PPG) Signal Analysis and Early Cardiovascular Disease Detection
J Jerome Julian, R S Rethees Raamm, A Praveen et al. International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI), 2026. Cites: paper

A Systematic Review of Machine Learning Techniques for Cardiovascular Disease Prediction With Performance Analysis and Future Perspectives
Payalben R Kasundra, Vaseem J Ghada. Cureus Journal of Computer Science., 2026. Cites: paper

Big data integration for enhanced epidemiological research: insights and directions from NHLBI's workshop
Md Mobashir Hasan Shandhi, Joseph Coresh, Jessilyn Dunn et al. Frontiers in Digital Health, 2026. Cites: paper

Clinical document metadata extraction: A scoping review
Kurt Miller, Qiuhao Lu, William Hersh et al. Journal of Biomedical Informatics, 2026. Cites: paper

HybridICDNet: Standardized Preprocessing and Systematic Benchmarking for Admission-Level ICD-9 Prediction in Clinical NLP
Chirag H. Bhatt, Sidheswar Routray, Dharmesh Shah. International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI), 2026. Cites: paper

A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks
Heriberto Cuayáhuitl, Grace Jang. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Beyond Benchmark Accuracy: Toward Clinically Trustworthy AI for Biomedical Signals
Jinan Charafeddine, Taha Houda, nada salman et al. International Conference on Artificial Intelligence, Systems, and Emerging Technologies (ICAISET), 2026. Cites: paper

CARE-Agent: Multi-Agent Collaboration with Conflict-Aware Routing Mechanism for Diagnosis Prediction
Pengxiang Zhan, Binteng Cai, J Zhang et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

CoFE: A Framework Generating Counterfactual ECG for Explainable Cardiac AI-Diagnostics
Jong-Hwan Jang, Junho Song, Yong‐Yeon Jo. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Feasibility of Ectopic Beat Detection and Count Estimation from Smartwatch-Based Photoplethysmography
Baiying Lu, Quan Dong, Sharanya Arcot Desai et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Improving Radiology Report Error Detection Using a Multipass Large Language Model: Framework Development and Validation
Songsoo Kim, Seungtae Lee, See Young Lee et al. JMIR Medical Informatics, 2026. Cites: paper

Patient Journey Modeling Through Multi-Modal Even Fusion for Early ICD Coding
Pierre-Adrien Carnelutti, Hamed Behzadi-Khormouji, Abel Díaz Berenguer et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Probabilistic Graphical Modeling for Biomedical Signal Completion with Non-Random Missingness on Patient Networks
Dinghao Xue, Wei Dong Lu. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

SHARK: Modeling Semantic Hierarchy of Medical Code via Residual K-Means Quantization
Kaisong Zhang, Hang Lv, Yanchao Tan et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

SpikeBP: Efficient Spike-Driven Transformer for Blood Pressure Waveform Generation with Frequency Knowledge Distillation
Zixuan Huang, Zi Wang, Weixiu Qiu et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Automated Prediction of Glasgow Coma Scale Scores From Unstructured Electronic Health Records Using Natural Language Processing: Development and Validation Study
Marta P. Fernandes, Niels Turley, Haoqi Sun et al. Journal of Medical Internet Research, 2026. Cites: paper

Continuous-Time Counterfactual Quantile Learning for Risk-Sensitive Policy Optimization
Yi He, Anpeng Wu, Ruoxuan Xiong et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026. Cites: paper

Predicting acute kidney injury in adults after cardiac surgery with a novel clinical metric: The cardiac diuretic-responsiveness index
Michael Tyler Guinn, Travis J Miles, Daniel T. Engelman et al. JTCVS Open, 2026. Cites: paper

The role of triglyceride-glucose (TyG) index in predicting mortality risk in critically ill patients with sepsis: a machine learning model in a cohort study
Shuo Li, Zibo Wu, Meijun Jia et al. BMC Medical Informatics and Decision Making, 2026. Cites: paper

Explainable Multi-Objective Optimization Reinforcement Learning for Privacy-Utility Tradeoff Management in IoT Systems
Sisay Yemata, Dagmawi Lemma, Sherin M. Moussa. IEEE International Conference on Smart Sustainable Systems for Computer and Engineering Applications (3SCEA), 2026. Cites: paper

Quantum-inspired fuzzy fields for adaptive uncertainty modeling in heterogeneous real-world systems
Idowu Paul Okuwobi, Jingyuan Liu, Olayinka Susan Raji et al. Applied Soft Computing, 2026. Cites: paper

Agentic LLM for anonymizing healthcare data with contextual awareness
Rana Azzam, Ahmad Musamih, Senay A. Gebreab et al. Knowledge-Based Systems, 2026. Cites: paper

An LLM-Based Evaluation and Optimization Framework for Auxiliary Diagnosis in Clinical Oncology
Haozheng Li. International Conference on Biomedicine and Bioinformatics Engineering (ICBBE), 2026. Cites: paper

Data-hugging shields proprietary AI models from research that could disprove them
Anish Karpurapu, Zhicheng Guo, Xiao Hu et al. npj Artificial Intelligence, 2026. Cites: paper

Edge-Intelligent cross-platform architecture for knowledge-intensive arterial blood pressure inference in distributed healthcare IoT networks
Jian Liu, Shuaicong Hu, Yanan Wang et al. Expert Systems with Applications, 2026. Cites: paper

Pretraining effective T5 generative models for clinical and biomedical applications
Saad Althabiti, Chuming Chen, Sultan Alrowili et al. PLoS ONE, 2026. Cites: paper

Semantic Graph Based Learning for Trend Prediction from Long Financial Documents
Bolun Xia, Aparna Gupta, Mohammed Javeed Zaki. ACM Transactions on Management Information Systems, 2026. Cites: paper

BlockFlow: A Scalable Blockchain Integrated Federated Learning Framework for Decentralized Aggregation and Incentive Driven Collaboration
Jarin Alam Prity, Akif Mahdi. IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN), 2026. Cites: paper

Dynamic patient similarity modeling with multi-source fused clinical knowledge for enhanced disease prediction
Yichen He, Yuchen Lin, Xiaorou Zheng et al. Engineering Applications of Artificial Intelligence, 2026. Cites: paper

Medical multimodal large language models: A survey
Hanguang Xiao, Ningzhi Hui, Yong Xu et al. Information Fusion, 2026. Cites: paper

Uncertainty-Calibrated Topology-Preserving Diffusion Oversampling (UTP-DO) for Imbalanced Learning
R. Indhumathi, S. Moses Dian. International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA), 2026. Cites: paper

An Interpretable AI Framework to Predict Post-ICU Mental Health Risks employing EHR Data and Vitamin D Biomarkers
Salma Chebbawi, Mohamed Tabaa, Hassan Badir. IEEE International Multidisciplinary Conference on Engineering Technology (IMCET), 2026. Cites: paper

Enhancing context-aware SARS disorder management: a proposed multi-agent simulation framework with machine learning and bio-sensor data integration
Abdullah Abdullah, Zulaikha Fatima, Nida Hafeez et al. Frontiers in Medical Technology, 2026. Cites: paper

Machine Learning Interpretability to Assess the Association Between Time in Tight Range and Mortality in Cardiogenic Shock
Yang Jiang, Qinglin Li, Yanling Huang et al. Nursing in Critical Care, 2026. Cites: paper

Medical irregular multivariate time series forecasting based on multi-scale temporal-frequency domain patch fusion and dynamic graph
Xueping Liu, Tianyi Gong, Youru Li et al. Frontiers in Physiology, 2026. Cites: paper

Structural complementarity-aware molecular representation learning for medication recommendation
Shunpan Liang, Shuoqi Li, Shihao Su et al. Engineering Applications of Artificial Intelligence, 2026. Cites: paper

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