Publications citing MIMIC-III Clinical Database Demo v1.4

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

A Reasoning Pathway Explanation Framework for Clinical AI: Methods and Evaluation
Yunguo Yu. Research Square, 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

Cross-validation under data dependence: a review-derived taxonomy and trustcv, a leakage-aware Python toolkit
Abdolamir Karbalaie, Farhad Abtahi. Research Square, 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

Explainable Patient-Level Cognitive Impairment Screening via Temporal, Semantic, and Psycholinguistic Multimodal AI
Abdullah Abdullah, Zulaikha Fatima, Miguel Jesús Torres Ruiz et al. Journal of Intelligence, 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

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

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

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