Publications citing MIMIC-II Clinical Database v2.6.0

Radar-based cuffless blood pressure monitoring: a comprehensive review
Hoang Thi Yen, Nguyen Duc Thanh, Văn Phúc Hoàng et al. Measurement, 2026. Cites: paper

M3: Conversational LLMs simplify secure clinical data access, understanding, and analysis
Rafi Al Attrach, Pedro Moreira, Rajna Fani et al. PLOS Digital Health, 2026. Cites: paper

Digitalisierung und Künstliche Intelligenz in der Intensiv- und Notfallmedizin
Leo Benning, Markus Haar, Anna Haftenberger et al. Medizinische Klinik - Intensivmedizin und Notfallmedizin, 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

Vision-Language Models for medical imaging: A survey on anomaly detection and multimodal applications
Gul E Arzu, Muhammad Umar, Muhammad Fayaz et al. Knowledge-Based Systems, 2026. Cites: paper

Single-label and multi-label classification for disease recognition with special consideration of comorbidities
Sophie Schmiegel, Hannah Marchi, M. H. Röchter et al. BMC Medical Research Methodology, 2026. Cites: paper

ExpertoRhythm: Morphology-Aware Learning for Waveform Reconstruction and Cuffless Blood Pressure Estimation from Single-Channel PPG
Amir Arjomand, Kenneth Blair Kent, Georgiy Krylov. Lecture notes in computer science, 2026. Cites: paper

Machine Learning Prediction of Pediatric In-Hospital Survival Before Extracorporeal Membrane Oxygenation Cannulation
Ayaka Tsutsumi, Chiara Camerota, Wazma Ali et al. ASAIO Journal, 2026. Cites: paper

An FPGA accelerator for lightweight dual-path spatial attention network targeting real-time cuffless blood pressure estimation
Gaoming Du, Tiancong Yang, Xiaolei Wang et al. Microelectronics Journal, 2026. Cites: paper

Differentiable feature selection method for neural additive models
Rinat I. Dumaev, Sergei A. Molodyakov. Computational Mathematics and Modeling, 2026. Cites: paper

A Comparative Study of Signal Representations Methods and Deep Learning Architectures for PPG-Based Cuffless Blood Pressure Estimation
Haitao Zhang, Xudong Hu, Xizhuang Zhang et al. Sensors, 2026. Cites: paper

CFMamba: Coarse-to-Fine Mamba with Cross-Attention Refinement for Cuffless Blood Pressure Waveform Estimation from PPG
Xianlong Shi, X J Liu, Xiaolin Ma et al. International Conference on Image, Signal Processing and Pattern Recognition (ISPP), 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

A review on multi-sensor data fusion for wearable health monitoring
Arlene John, Alex Pappachen James, Barry Cardiff et al. Information Fusion, 2026. Cites: paper

Resptrack: An efficient wearable system for real-time respiratory rate monitoring during daily activities
Subhojit Jash, Kishore Kumar Padi, Sajan Kapil et al. Pervasive and Mobile Computing, 2026. Cites: paper

On the purpose of artificial intelligence in critical care medicine
Cristian Drudi, Sarah Christina Matta, H. Lee et al. Journal of Translational Critical Care Medicine, 2026. Cites: paper

The Impact Analysis of Device Variations, Data Quality and Collection Intervals on the Performance of Blood Pressure Prediction Model
Mei Zou, Xun Li, Shu Cong et al. Chinese Journal of Electronics, 2026. Cites: paper

A multi-domain feature-based ensemble learning approach for cuffless blood pressure estimation
Vinit Kumar, Priya Ranjan Muduli. Artificial Intelligence in Emergency Medicine, 2026. Cites: paper

ECG and PPG Signals-Based Premature Ventricular Contraction Detection Methods: A Review, Key Challenges, and Future Directions
Shailesh Mohine, Nabasmita Phukan, M. Sabarimalai Manikandan et al. Cardiovascular Engineering and Technology, 2026. Cites: paper

A Feasibility Study of Treatment-Anchored Silver Labeling for Phenotyping Using VitalDB and Interpretable Machine Learning
Woo Jin Jung, Ah Reum Kang. IEEE Access, 2026. Cites: paper

AI‐Based Non‐Invasive Continuous Blood Pressure Monitoring and Estimation System
Barrett London Burgess, Aruzhan Suleimenova, Jaemin Choi et al. Advanced Sensor Research, 2026. Cites: paper

Artificial Intelligence for Reducing Alarm Fatigue in Hospitals: A Systematic Review
Milla Kosonen. Communications in computer and information science, 2026. Cites: paper

Beyond Static Agents: A Six-Dimensional Taxonomy and Survey of Self-Evolving LLM Agents for Healthcare
Shubham Vatsal, Harsh Dubey, Ahsaas Bajaj. IEEE Access, 2026. Cites: paper

Cost-Constrained Multi-label Group Feature Selection Using Shadow Features
Tomasz Klonecki, Paweł Teisseyre, Jaesung Lee. Lecture notes in networks and systems, 2026. Cites: paper

PiSO: Pipelined Selection Optimization Framework for Preprocessed Data and DL Models on ABP Estimation Using MIMIC-IV
Aruzhan Suleimenova, Barrett London Burgess, Jaemin Choi et al. IEEE Access, 2026. Cites: paper

Unifying Diverse Data Horizons with Functional Synergy Using Polyglot Persistence
Himanshu Ranjan, Ankit Kumar Yadav, Shelly Sachdeva. Lecture notes in computer science, 2026. Cites: paper

Single-label and Multi-label Classification for Disease Recognition with Special Consideration of Comorbidities
Sophie Schmiegel, Hannah Marchi, M. H. Röchter et al. medRxiv, 2025. Cites: paper

Electronic Health Records: Toward Digital Twins in Healthcare
Muhammet Alkan, Hester Huijsdens, Yola Jones et al. Springer eBooks, 2025. Cites: paper

Deep Spectra P2E: AI-Driven Spectral ECG Reconstruction from PPG for Continuous Cardiovascular Monitoring
Shyamala Mathi, Sashikala Mishra, Manoj Kumar et al. Engineering Technology & Applied Science Research, 2025. Cites: paper

Unraveling blood pressure estimation with a deep learning approach using multiple embeddings
Vishal Singh Roha, Mehmet Rasit Yuce. Computers in Biology and Medicine, 2025. Cites: paper

The hidden risk of round numbers and sharp thresholds in clinical practice
Benjamin J. Lengerich, Rich Caruana, Mark Nunnally et al. npj Digital Medicine, 2025. Cites: paper

A multimodal physiological dataset for non-invasive blood glucose estimation
Waris Quamer, Mu-Ruei Tseng, Kathan Vyas et al. Scientific Data, 2025. Cites: paper

A multiwavelength photoplethysmography dataset with blood pressure and heart rate reference measurements
Elisabetta Leogrande, Chiara Botrugno, Giulio Trono et al. Data in Brief, 2025. Cites: paper

Integrating transfer learning with scalogram analysis for blood pressure estimation from PPG signals
Shyamala Subramanian, Sashikala Mishra, Shruti Patil et al. Scientific Reports, 2025. Cites: paper

Multi-layer encrypted learning for distributed healthcare analytics
Timothy Kuo, Hui Yong Yang. Scientific Reports, 2025. Cites: paper

Large Language Model-Based Virtual Patient Simulations in Medical and Nursing Education: A Review
Young-Woo Jo, Myungeun Lee, Hyung-Jeong Yang. Applied Sciences, 2025. Cites: paper

Predictive Modeling of Anesthesia Types and Their Associations with Clinical Outcomes Using the MIMIC-IV Database
Goli Asgari, Ata Amini, Pooya Vahedi et al. Journal of Cellular & Molecular Anesthesia, 2025. Cites: paper

Multiple Diseases Prediction Using Machine Learning
Shweta Kaushik, Ranjul Singh Chandel, Isha Gupta et al. Lecture notes in networks and systems, 2025. Cites: paper

A Comprehensive Benchmark for Electrocardiogram Time-Series
Z. Tang, Jiaxin Qi, Yuhua Zheng et al. ACM International Conference on Multimedia (ACM MM), 2025. Cites: paper

Healthcare 5.0-Driven Clinical Intelligence: The Learn-Predict-Monitor-Detect-Correct Framework for Systematic Artificial Intelligence Integration in Critical Care
Hanene Boussi Rahmouni, Nesrine Ben El Hadj Hassine, Mariem Chouchen et al. Healthcare, 2025. Cites: paper

Artifact management methodologies for arterial blood pressure signals: A systematic scoping review of human and animal literature
Tobias J. G. Bergmann, Nuray Vakitbilir, Xue Nemoga‐Stout et al. Physiological Reports, 2025. Cites: paper

A multi-stage cuff-less continuous blood pressure estimation method for overcoming subject specificity
Yongjian Li, Meng Chen, Mingsen Du et al. Information Fusion, 2025. Cites: paper

СИТУАЦИОННОЕ УПРАВЛЕНИЕ: МОДИФИКАЦИЯ РЕШЕНИЯ В УСЛОВИЯХ НЕОПРЕДЕЛЕННОСТИ
Б. А. Кобринский. Высшая школа: научные исследования, 2025. Cites: paper

ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning
Guangzhi Xiong, Sanchit Sinha, Aidong Zhang. ACM Transactions on Knowledge Discovery from Data, 2025. Cites: paper

Continuous Cuffless Blood Pressure Estimation via Effective and Efficient Broad Learning Model
Chunlin Zhang, Pingyu Hu, Zhan Shen et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Advanced biosignal processing and emotion recognition through artificial intelligence
A. Yasmine Begum, E. Edwin Lawrence, M. Saravanan et al. Elsevier eBooks, 2025. Cites: paper

Trends and methods in intensive care unit (ICU) research using machine learning: latent dirichlet allocation (LDA)-based thematic literature review
Duygu Topaloğlu, Olcay Polat. BMC Medical Informatics and Decision Making, 2025. Cites: paper

The barriers to uptake of artificial intelligence in hepatology and how to overcome them
Jan Clusmann, Maria Balaguer‐Montero, Octavi Bassegoda et al. Journal of Hepatology, 2025. Cites: paper

Consideration of Sociodemographics in Sepsis Risk Prediction: Implications and Next Steps
Deepshikha Charan Ashana, William F. Parker. Critical Care Medicine, 2025. Cites: paper

Parametric Study of Cardiovascular Parameter Influence on PPG-to-CBP Signal Conversion
Adelle Ria Persad, Bo-Mi Lee, Junki Hong et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

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