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

Test-Time Recommendation for Safe Medication Combination
Xiaoyu Han, Yonghui Xu, Haotian Chen et al. Lecture notes in computer science, 2026. Cites: paper

The Evolution of Artificial Intelligence in Healthcare: From Rule-Based Systems to Agentic Intelligence
Raşit Dinç, Nurittin Ardıç. Springer eBooks, 2026. Cites: paper

Threats to Validity of Process Mining Research
Benoît Depaire, Henrik Leopold, Jan Mendling. Lecture notes in computer science, 2026. Cites: paper

Towards a Digital Twin for Critical Care Through Explainable Digital Human Modeling of ICU Patients
Md Sumon Ali, Mufti Mahmud. Lecture notes in computer science, 2026. Cites: paper

Towards Explainable Hospital Mortality Prediction Using Critical Care Data
Md Sumon Ali, Mufti Mahmud. Lecture notes in computer science, 2026. Cites: paper

Towards Generalizable and Explainable Early Sepsis Prediction: A Hybrid Approach Using Multi-center EHR Data and Advanced Feature Engineering
Nandibhatla Haritha, V. Lakshmi Chetana. Smart innovation, systems and technologies, 2026. Cites: paper

Toward Trustworthy Predictive Healthcare: A Strategic Review of Smart and Secure AI Applications
Ashutosh Verma. Communications in computer and information science, 2026. Cites: paper

Transforming Healthcare with Electronic Health Records: AI Integration, Evolution, and Future
Priyanka Chakraborty, Sabyasachi Kamila. Springer optimization and its applications, 2026. Cites: paper

TRIDENT: Tabular Representation Inference with Dedicated Embeddings for Null Tokens
Pedro B. Rigueira, Victoria F. Mello, Guilherme H. G. Evangelista et al. Lecture notes in computer science, 2026. Cites: paper

Uncovering Clinical Insights From Electronic Health Records Through a Graph Neural Network for Diabetes Prediction
Nguyễn Minh Hải, Nguyen Phuong Nam, Nguyen Van Thinh. IEEE Access, 2026. Cites: paper

Understanding Institutional Variability in ICU Data for Robust Machine Learning
Favio Salinas, Steven Kessler, Marvin Agristean et al. Communications in computer and information science, 2026. Cites: paper

User Access Control in Policy-Protected Virtual Knowledge Graphs
Divya Baura, Diego Calvanese. Lecture notes in computer science, 2026. Cites: paper

A Deep Learning Model That Combines ResNet and Transformer Architectures for Real-Time Blood Glucose Measurement Using PPG Signals
T. C. Chen, L. Wang, Qian-Xun Hong et al. Bioengineering, 2025. Cites: paper

Hierarchical spatio-temporal graph network for risk prediction
Fanghua Chen, Hong Bo Jia, Weinan Zhou et al. Scientific Reports, 2025. Cites: paper

Deep Learning Architectures for Predictive Healthcare Analytics: From Diagnosis to Prognosis
Aditya Koneru, Narendra Narne, Sreenivasarao Amirineni. International Conference Communication, Networks & Computing, 2025. Cites: paper

Elevated lactate-to-albumin ratio predicts short- and long-term mortality in trauma and surgical intensive care patients: a retrospective MIMIC-IV cohort study
Zhiting Song, Hailong Miao, Xianyi Xin et al. Scientific Reports, 2025. Cites: paper

AI-Enabled Precision Nutrition in the ICU: A Narrative Review and Implementation Roadmap
George C. Briassoulis, Efrossini Briassouli. Nutrients, 2025. Cites: paper

From radiology findings to artificial intelligence-powered impressions: A retrospective study on the comparative performance of recent large language models
Nanziba Tasneem, Christian B. van der Pol, Ambreen Zahoor et al. Intelligent Medicine, 2025. Cites: paper

Diagnostic Codes in AI Prediction Models and Label Leakage of Same-Admission Clinical Outcomes
Bashar Ramadan, Ming-Chieh Liu, Michael C. Burkhart et al. JAMA Network Open, 2025. Cites: paper

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

A pre-trained language model approach for triaging surgical patients for preoperative anesthesia clinics
Nicole Y. Xu, Onkar Litake, Jeffrey Logan Tully et al. Journal of Clinical Monitoring and Computing, 2025. Cites: paper

Tailored to Fit Sepsis Individuals: Medical Knowledge Aware Reinforcement Learning Model Offers Optimized Therapeutic Strategies
Xue Feng, Siyi Zhu, Luping Fang et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Verifying Facts in Patient Care Documents Generated by Large Language Models Using Electronic Health Records
Philip Chung, Akshay Swaminathan, Alex J. Goodell et al. NEJM AI, 2025. Cites: paper

An accurate phasing tool via high-quality heterozygous variations
Jun Zhang, Fan Nie, Jianxin Wang. bioRxiv (Cold Spring Harbor Laboratory), 2025. Cites: paper

Context Specific Refinement of Protein Interaction Network for Knowledge Graph Completion
Bharath Chand, Thara Prabhakaran, Sanju Mishra Tiwari. Lecture notes in computer science, 2025. Cites: paper

Graph attention network with comorbidity connectivity embedding for post-traumatic epilepsy risk prediction using sparse time-series electronic health records
Priyadharsini Ramamurthy, Zheng Han, Dursun Delen et al. International Journal of Medical Informatics, 2025. Cites: paper

A Clinical Feature Engineering and Imbalance-Aware Framework for Hospital Readmission Prediction
VasanthRao Jadav, Ritesh Ruparel. International Conference on Computer and Applications (ICCA), 2025. Cites: paper

Emerging Synergies in Causality and Deep Generative Models: A Survey
Guanglin Zhou, Shaoan Xie, Guang-Yuan Hao et al. IEEE Transactions on Artificial Intelligence, 2025. Cites: paper

GenAI-Powered Clinical Libraries: Enhancing Patient-Centric Care with Retrieval-Augmented Generation and Multimodal Search
Shravya Bussari, Ritesh Ruparel. International Conference on Computer and Applications (ICCA), 2025. Cites: paper

Large Language Models for Breast and Cervical Cancers Communication: Mixed Methods Evaluation Study Assessing Linguistic Quality, Safety, and Accessibility
Agnik Saha, Victoria Churchill, Anny Rodriguez et al. JMIR Cancer, 2025. Cites: paper

Mamba-enhanced disease semantic knowledge graph for interpretable automatic ICD coding
Pengli Lu, Chao Dong, Jingjin Xue et al. Journal of Biomedical Informatics, 2025. Cites: paper

Domain-Specific NLP for Personalized Radiation Treatment Pathways with LLM Fine-Tuning
Apurbo Biswas, Md. Owafeeuzzaman Patwary, Morzia Momo et al. IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), 2025. Cites: paper

Interpretable machine learning for the early prediction of acute kidney injury in preterm infants in the neonatal intensive care unit
Ding Liu, Jun Lyu, Fang Yang. Renal Failure, 2025. Cites: paper

Outbreak Monitoring: Epidemic Surveillance through Anomaly Detection on Zero-shot News Classification
Sara De Luca, Juan José Márquez Villacís, C. Medoro et al. Expert Systems with Applications, 2025. Cites: paper

AI-Driven Multi-Disease Risk Prediction Using Routine Laboratory Data in Indian Healthcare Settings
N. Srinivasan, Harshini Akshaya A S, Harish Ragavendar S. International Conference on Advancement in Futuristic Technologies (ICAFT), 2025. Cites: paper

An ultra-efficient edge-based wearable system for real-time and remote blood pressure monitoring
Wei Xiang, Jian Liu, Shuaicong Hu et al. Engineering Applications of Artificial Intelligence, 2025. Cites: paper

De-identification of clinical data: A systematic review of free text, image and tabular data approaches
Pedro Faustini, Annabelle K. McIver, Ryan Sullivan et al. International Journal of Medical Informatics, 2025. Cites: paper

Hybrid Deep Learning Model for Cuffless Blood Pressure Estimation from PPG
Om Nath, Bhavya Shukla, Anurag Singh et al. IEEE Conference on Information and Communication Technology (CICT), 2025. Cites: paper

SAFE-GUARD: Semantic Access Control Framework Employing Generative User Assessment and Rule Decisions
Nastaran Farhadighalati, Luis Alberto Estrada-Jimenez, Sepideh Kalateh et al. Informatics, 2025. Cites: paper

Sequential sample size calculations and learning curves safeguard the robust development of a clinical prediction model for individuals
Amardeep Legha, Joie Ensor, Rebecca Whittle et al. Journal of Clinical Epidemiology, 2025. Cites: paper

SpineDL: a Deep Learning-based approach for neuron and anatomical structure segmentation in immunofluorescence images of damaged spinal cords
Pablo Ruiz-Amezcua, Daniel Franco-Barranco, David Reigada et al. bioRxiv (Cold Spring Harbor Laboratory), 2025. Cites: paper

Temporal Fusion Transformer–Based Early Prediction of Sepsis in ICU Patients Using Multivariate Vital Signs and Laboratory Time-Series Data
Shikha Khullar, Durga Prasad Palaparthi, Sasmita Kumari Pradhan et al. International Conference on Advancement in Futuristic Technologies (ICAFT), 2025. Cites: paper

An Egocentric Life-Saving Interventional Procedure Dataset of Actions, Medical Questions, Maneuvers and Tools
Yupeng Zhuo, Eddie Zhang, Xiangchen Yu et al. Scientific Data, 2025. Cites: paper

A study on predicted in-hospital mortality in critically ill patients with coronary heart disease: analysis of the MIMIC-IV database
Yijing Tao, Guoxin Huang, M.B. Guosheng Huang et al. BMC Medical Informatics and Decision Making, 2025. Cites: paper

SimSUM – simulated benchmark with structured and unstructured medical records
Paloma Rabaey, Stefan Heytens, Thomas Demeester. Journal of Biomedical Semantics, 2025. Cites: paper

The Impact of Large Language Models on Healthcare
Urvinder Kaur, Neeraj Gupta, Harminder Kaur. BENTHAM SCIENCE PUBLISHERS eBooks, 2025. Cites: paper

TrustEdge: A quantum-safe, self-healing framework for federated TinyML in critical ICU monitoring
Umar Hayat Khan, Affaq Qamar, Rahim Khan et al. Internet of Things, 2025. Cites: paper

A Dataset of Human Sperm Microscopy Videos for Detection, Tracking, and Motility Parameter Analysis
Atilla Sivri, Jiwon Choi, Justin Bopp et al. bioRxiv (Cold Spring Harbor Laboratory), 2025. Cites: paper

nSOFA scores predict prolonged mechanical ventilation in neonatal respiratory distress syndrome: a retrospective cohort study
Lijuan Wang, You Duan, Xiaohu Zhang et al. BMC Pediatrics, 2025. Cites: paper

Early Prediction of Cardiac Arrest Based on Time-Series Vital Signs Using Deep Learning: Retrospective Study
Yong Li, Lei Lv, Xia Wang. JMIR Formative Research, 2025. Cites: paper

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