Publications citing MIMIC-III Clinical Database Demo v1.4

Development and external validation of an acute kidney injury risk model in older ICU patients with aspiration pneumonia
Hongbo Li, Qimeng Xu, Yilan Liang et al. Research Square, 2026. Cites: paper

Governing Clinical AI Deployment: A Mathematical Framework for Transparency-Dependent Autonomy
Yunguo Yu, Bernardo Gabriele Collaço, S. Prabha et al. Healthcare, 2026. Cites: paper

Evaluating the AI-predictive potential of the PIC database for pediatric ICU mortality
Maria A. Bravo, Judy Ximena Ramos Garzón, Carlos A. Fajardo. Pediatric Research, 2026. Cites: paper

Preceding organ trajectories guide dynamic reassessment after apparent stabilisation in sepsis
Luomeng Wang, Jialin Song, Marina Vereshchako et al. medRxiv, 2026. Cites: paper

ExpertCare: A specialized Mixture of Experts framework guided by ICD knowledge for healthcare prediction
Shunpan Liang, Guanyong Wu, Jun Li et al. Knowledge-Based Systems, 2026. Cites: paper

Outcome-blind acute metabolic displacement identifies QRS vulnerability and transient low-heart-rate susceptibility during hyperkalaemia
宜平刘, shujie li, chao jiang et al. Research Square, 2026. Cites: paper

A systematic review of advances in spatiotemporal machine learning for road traffic accident prediction in developing countries
Fernaz Narin Nur, Avi Mondal, Sarbajit Paul Bappy et al. Discover Artificial Intelligence, 2026. Cites: paper

A contrastive decision transformer with TLA+ formal verification for sepsis treatment recommendation
Ning Zhou, Jincheng He, Muyuan Niu et al. Journal of Biomedical Informatics, 2026. Cites: paper

Domain-specific information retrieval
Suzan Verberne, Florina Piroi, Allan Hanbury. Foundations and Trends® in Information Retrieval, 2026. Cites: paper

Early Prediction of Multiple Major Adverse Cardiovascular Events in Acute Coronary Syndrome: Comparison of Feature-Extraction Pipelines and Fine-Tuned Large Language Models
Blanca Vázquez, Gabriela Borrayo–Sánchez. Applied Artificial Intelligence, 2026. Cites: paper

Optimal closed-loop feedback control of blood flow after spinal cord injury with norepinephrine
Denis Routkevitch, Patrick J. Kramer, Angelica F. Lopez et al. Nature Biomedical Engineering, 2026. Cites: paper

Trust-Aware Adaptive Searchable Encryption Using Federated Graph Neural Networks for Secure Healthcare Blockchain Systems
Kalpeshkumar Laxmanbhai Patel, Ranjeet Kumar. International Engineering Data Analytics and Management Conference (EAMCON), 2026. Cites: paper

From sensing to clinical translation: advances and challenges in wearable cuffless blood pressure monitoring
Xiaoxiao Xu, Wenhan Zheng, Yanhua Song et al. Sensor Review, 2026. Cites: paper

From task-specific networks to foundation models in diabetes care: a critical review of opportunities, evaluation gaps, and safety frontiers
M. Nanda Kishore, C. Navaneethan. Frontiers in Artificial Intelligence, 2026. Cites: paper

A narrative review of methods for estimating blood pressure waveforms from photoplethysmography
Bartosz Olszewski, Cyprian Mataczyński, Ziemowit Ostrowski et al. Journal of Clinical Monitoring and Computing, 2026. Cites: paper

Brain-inspired offline reinforcement learning in sepsis prognosis
Xiaodan Wu, Ruichang Li, Changqing Cheng et al. IISE Transactions on Healthcare Systems Engineering, 2026. Cites: paper

DyMHGRec: Multi-channel hypergraph neural network medication recommendation model based on dynamic perception
Qianqian Wang, Zijun Hu, Chao Che et al. Neurocomputing, 2026. Cites: paper

Omni-ARMD: an integrated genomic and clinical knowledgebase bridging clinical phenotypes and molecular determinants of antimicrobial resistance
Hai Tang, Xiaoying Xie, Shikang Zheng et al. Nucleic Acids Research, 2026. Cites: paper

Evaluating Context-Aware Deep Learning Architectures for Irregularly Sampled Multivariate Clinical Time Series
Guadalupe Ana Gabriela Martinez-Hernandez, Ricardo Menchaca-Méndez, Rolando Menchaca-Méndez. Communications in computer and information science, 2026. Cites: paper

Stress testing a physics-constrained arterial-pressure twin candidate: Reconstruction, forecasting, uncertainty, and identifiability from photoplethysmography
Ahmed Faeq Hussein. Results in Engineering, 2026. Cites: paper

Deferral-Rule Geometry, Not Multidimensional Reliability, Explains Selective-Prediction Gains in Clinical AI: A Three-Database Intensive Care Study
Yunguo Yu, Bernardo Gabriele Collaco, Srinivasagam Prabha et al. Bioengineering, 2026. Cites: paper

Federated Learning for Early Prediction of Cardiovascular Disease in Privacy-Constrained Healthcare Environments
Nitya Puspaceno, Muhammad Arifur Rahman, Mufti Mahmud et al. Communications in computer and information science, 2026. Cites: paper

IoT-Driven Healthcare: Integrating Communication Security and Data Analytics for Enhanced Patient Outcomes
Hari Prakash Chanumolu. International Journal of Clinical Research and Medical Sciences, 2026. Cites: paper

Quantum-Enhanced Real-Time Patient Monitoring and Predictive Analytics
Isha Mehta, Vaishnavi Deshmukh, Milind Chunkhare. Advances in computational intelligence and robotics book series, 2026. Cites: paper

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

Remote Patient Monitoring Systems Using AI-Enabled Wearables
Mohammad Nasar. Advances in computational intelligence and robotics book series, 2026. Cites: paper

Retrieval-augmented generation in biomedicine: a survey of technologies, datasets, and clinical applications
Jiawei He, Boya Zhang, Hossein Rouhizadeh et al. Artificial Intelligence Review, 2026. Cites: paper

Application of machine learning prediction models for in-hospital mortality in diabetic sepsis patients: a study based on the MIMIC IV database
Zongxin Shen, Haijiao Zhang, Yu Wang. BMC Medical Informatics and Decision Making, 2026. Cites: paper

Evidence-Grounded Retrieval- Augmented Generation and Knowledge-Graph Grounding for Patient-Safety Reasoning: A Comparative Evaluation
Sharare Taheri Moghadam, Md Shafiqur Rahman Jabin. Research Square, 2026. Cites: paper

MACRA: a training-free multi-agent framework for reliable and cost-aware clinical summarization
PeiCheng Yin, Changpeng Zhu, Wei Tao. The Journal of Supercomputing, 2026. Cites: paper

MDeID: A dataset for multilingual medical de-identification
Risha Surana, Rodolfo Quispe, Alistair E. W. Johnson et al. Journal of Biomedical Informatics, 2026. Cites: paper

A privacy-preserving hybrid generative framework integrating diffusion and transformer models for synthetic healthcare data generation
Anuj Mangal, Premkumar Lalchandani, P. Ila Chandana Kumari et al. Journal of Data Information and Management, 2026. Cites: paper

Clinical pathogen adjudication in metagenomic sequencing using a large language model
Muyun Wei, Yiming Zhao, Chao Fang et al. medRxiv, 2026. Cites: paper

Unlocking Practical Cardiac Monitoring Capabilities on True Wireless Stereo Earbuds
Yongjian Fu, Ke Sun, Xinyu Zhang et al. ACM Annual International Conference on Mobile Computing and Networking (MobiCom), 2026. Cites: paper

Ontology-anchored inference chain reasoning: A neuro-symbolic approach to cross-lingual disease diagnosis coding
薛敬进, Pengli Lu. Applied Soft Computing, 2026. Cites: paper

Toward a Common Language for Trustworthy AI in Healthcare
Michael S. Ramirez Campos, Rebecca Elliott, Thomas E. Doyle. Research Square, 2026. Cites: paper

WarfaRisk: A Reproducible, Fairness-Aware Machine Learning Pipeline for Warfarin Dose Prediction (Prototype)
Hassan Barmandah, Siraj Aldeen Marghalani, Omar A. Bawazir et al. AI, 2026. Cites: paper

Evidence-Grounded Large Language Model Reasoning for Patient Safety Using Knowledge Graphs and Retrieval-Augmented Generation: Development and Evaluation Study
Sharare Taheri Moghadam, Md Shafiqur Rahman Jabin. Research Square, 2026. Cites: paper

Perioperative predictive analytics and artificial intelligence in anesthesiology: a systematic review of clinical applications and outcomes
Daniel Tevar Flores, Nekari De Luis-Cabezón, Alfredo Abad Gurumeta et al. Perioperative Care and Operating Room Management, 2026. Cites: paper

Relationship extraction for adverse drug events in clinical notes using large language models: a retrospective cross-sectional study
Joseph Michael Plasek, Yiming Li, Mary G. Amato et al. EBioMedicine, 2026. Cites: paper

OmniTFT: an EHR-driven multi-target forecasting model for ICU clinical decision support systems
Wanzhe Xu, Yutong Dai, Yitao Yang et al. Frontiers in Digital Health, 2026. Cites: paper

ZKP-PAC: Accountable and Attribute-private Access Control for EHRs with Batch-verifiable Zero-knowledge Proofs and Provably Secure Revocation on Hyperledger Fabric
Komal Patiyal, Rupali Dhir. International journal of intelligent engineering and systems, 2026. Cites: paper

A data augmentation-based deep reinforcement learning approach for high-risk states avoidance in sepsis treatment
Qiwei Zhang, Bin Lin, Yunlong Liu. Applied Intelligence, 2026. Cites: paper

Beyond Mean Absolute Error: Ancestry-Stratified Calibration and Explainability for Warfarin Dosing Models
Hassan Barmandah, Omar A. Bawazir, Siraj Aldeen Marghalani et al. Journal of Personalized Medicine, 2026. Cites: paper

Demographic subgroup-aware analysis of blood pressure predictive models
Blessing Kolawole, Sinuo Fan, Yingjie Lao et al. PLOS Digital Health, 2026. Cites: paper

Leakage-Aware Evaluation of Brazilian Clinical Notes for ICU Mortality Prediction: A Study on the BRATECA Dataset
Felipe André Bach Alves, Heloísa Oss Boll, Mariana Recamonde‐Mendoza. Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana (STIL), 2026. Cites: paper

Modeling Patient Care Pathways as Markov Chains
Noorjahan Siddiqui. IGI Global eBooks, 2026. Cites: paper

Multi-environment evaluation and decision-level analysis of clinical prediction models under dataset shift
Jorge Robalino-Díaz, Alejandro Cabrera‐Andrade, Ana Karina Zambrano et al. Frontiers in Digital Health, 2026. Cites: dataset, paper

Stochastic Processes for Adaptive Healthcare Systems
Shivansu Sachan. IGI Global eBooks, 2026. Cites: paper

Assessment, intervention, and ethical considerations of artificial intelligence for depression and suicide risk: A scoping review
Chul‐Hyun Cho, Yong‐Ku Kim. Psychiatry Research, 2026. Cites: paper

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