Publications citing MIMIC-III Clinical Database Demo v1.4

PRISM-VFL: A Differentially Private Vertical Federated Framework for Heterogeneous Multi-Task Clinical Prediction
Amelia A. Soare, Roland V. Bumbuc, H. Ibrahim Korkmaz et al. Research Square, 2026. Cites: paper

Artificial Intelligence Models for Mortality and Outcome Prediction in Intensive Care Unit Sepsis: A Systematic Review
Giuseppe Mazza, Giuseppe Neri, Helenia Mastrangelo et al. Journal of Personalized Medicine, 2026. Cites: paper

Early identification of acute kidney injury progression in critically ill patients with sepsis: interpretable machine learning approach
XiaoDong You, Yuehua Chen, Jiahui Chen et al. Clinical Kidney Journal, 2026. Cites: paper

Generative artificial intelligence for outcome prediction in critical care: the future is now?
Jessica D. Workum, Christian Jung, Michael Beil. Current Opinion in Critical Care, 2026. Cites: paper

Towards trustworthy AI-driven cuffless blood pressure monitoring
Ana Cisnal, Itilekha Podder, Leoni Grossmann et al. npj Digital Medicine, 2026. Cites: paper

Translational applications of artificial intelligence and machine learning for mosquito-borne disease control in low- and middle-income countries
Chinenyenwa Ohia, Mahdieh Jannatkhah, Tauseef Ahmad. Public Health, 2026. Cites: paper

Association between lactate to albumin ratio and 28-day all-cause mortality in patients with extracorporeal membrane oxygenation: a retrospective multi-cohort study
Jin Zhao, Chenyang Xu, Yuan Peng. BMC Cardiovascular Disorders, 2026. Cites: paper

Dynamic knowledge graphs for bidirectional causal reasoning in traditional Chinese medicine diagnosis
Hao Fu, Wei Yao, Delin Zhang et al. Expert Systems with Applications, 2026. Cites: paper

FLEL: Federated Ensemble Learning via Distillation under Model Heterogeneity
Cuong Nguyen Hai Vinh Nguyen, T D K Nguyen, Satit Kravenkit et al. International Joint Conference on Computer Science and Software Engineering, 2026. Cites: paper

Generative AI for healthcare: fundamentals, challenges, and perspectives
Gang Chen, Changshuo Liu, Ooi Gene Anne et al. Science China Information Sciences, 2026. Cites: paper

MedGLM: Unifying Graph Neural Networks and Large Language Models for Knowledge Graph-Grounded Healthcare Prediction
Tri Khang Ho, Linhao Luo, Zihang Liu et al. Lecture notes in computer science, 2026. Cites: paper

Semantic-Enhanced Representation Architecture for Automatic ICD Coding via Hyperbolic Graph Neural Networks
Pritish Patel, Mohammed Hasanuzzaman. Lecture notes in computer science, 2026. Cites: paper

Towards privacy-preserving drug recommendation via attribute unlearning
Hengyu Zhang, Zihao Zhou, Guofang Ma et al. Pattern Recognition, 2026. Cites: paper

Performance variation and implementation barriers of large language models in clinical healthcare: a systematic review
Samer Imad Mohammed, Khalid Abdulhussein Abdulameer, Mahmood salih et al. Journal of Umm Al-Qura University for Medical Sciences, 2026. Cites: paper

Unfederated: Open Challenges, Deployment Gaps, and Emerging Directions in Federated Learning
Dinah Waref, Yomna Alayary, Mohamed A. Abd El Ghany et al. Archives of Computational Methods in Engineering, 2026. Cites: paper

A robust framework for secure cardiovascular risk prediction: An architectural case study of differentially private federated learning
Rodrigo Ronner Tertulino da Silva, Laércio Alencar. Peer-to-Peer Networking and Applications, 2026. Cites: paper

Automated segmentation of neurons and spinal cord structures in immunofluorescence images using SpineDL
Pablo Ruiz-Amezcua, Daniel Franco-Barranco, David Reigada et al. Scientific Reports, 2026. Cites: paper

Mixture of experts based medication recommendation for multimorbidity
Jinhang Xu, Changzhi Sun, Wenqi Qian et al. Expert Systems with Applications, 2026. Cites: paper

Beyond snapshot dosing: a dynamic living digital twin framework for model-informed precision dosing in critical illness
Hülya Tezel Yalçın, Nadir Yalçın. Expert Review of Clinical Pharmacology, 2026. Cites: paper

Multilingual Evidence-Based Question-Answering for Stroke Discharge Summaries: Study of Cross-Lingual Heterogeneity in Clinical Reports
Vojtěch Lanz, Aleksis Datseris, Svetla Boytcheva et al. Journal of Medical Internet Research, 2026. Cites: paper

Online Sepsis Prediction Using Vital Signs and Multiscale Temporal-Aware Contrastive Learning: Model Development and Validation Study
Xiaoqiong Yang, Zezhong Lv, Hanming Lv et al. JMIR Medical Informatics, 2026. Cites: paper

Development of a prognostic prediction model for prostate cancer patients using the MIMIC-IV database
J Lu, Yongqing Zheng, Miao Kuang et al. Research Square, 2026. Cites: paper

Hemoglobin glycation index may contextualize the association between time-varying stress hyperglycemia ratio and mortality in critically ill patients with heart failure: a multicenter retrospective cohort study
Yecheng Chen, Yuzhou Cai, 沙燕明 et al. Cardiovascular Diabetology, 2026. Cites: paper

Med-LLaMA3: Advancing Medical Question-Answering Through Parameter-Efficient Fine-Tuning of Large Language Models
Mohamed Ahmed Abo El-Enen, Sally Ismail, Taymoor Mohamed Nazmy. Applied Sciences, 2026. Cites: paper

Synthetic data generation: challenges and perspectives for gastrointestinal medicine
Panagiota Gatoula, Dimitris K. Iakovidis, Dimitrios E. Diamantis et al. Nature Reviews Gastroenterology & Hepatology, 2026. Cites: paper

A multimodal generative model for structured and unstructured electronic health records
Sonish Sivarajkumar, Hang Zhang, Yuelyu Ji et al. npj Health Systems, 2026. Cites: paper

An Edge Artificial Intelligence Framework for IoMT-Enabled Remote Health Monitoring and Clinical Information Retrieval
Pir Noman Ahmad, Muhammad Shahid Anwar, Igor Barahona et al. Future Internet, 2026. Cites: paper

Comparing Explanatory and Exploratory Explainable User Interfaces for AI-Supported Clinical Decision-Making: A Within-Subjects Study with Healthcare Professionals (Preprint)
Kent Fredriksdotter, Alejandro Kuratomi, Luis Quintero. JMIR Human Factors, 2026. Cites: paper

Natural Language Processing Based Solution for Labeling Brain Metastasis Identified in Radiology Reports
Tianhui Liu, Yu Han, Hanxiao Zuo et al. medRxiv, 2026. Cites: paper

Systematic review: a literature review of process mining in healthcare
Aydin Fakhri Kaleybar, Mohammadbagher Karimi, Niloofar Naghshi et al. International Journal of Data Science and Analytics, 2026. Cites: paper

A Large Language Model for Extracting Post-marketing Adverse Drug Events from Clinical Notes in the Electronic Health Record
Dana Ludwig, Michelle Wang, James R. Buchanan et al. Drug Safety, 2026. Cites: paper

Enhancing Early Mortality Prediction With Clinical Notes as Time-Series Scores
Gabriel Vázquez-Serrano, Maite Oronoz, Alicia Pérez. IEEE Transactions on Human-Machine Systems, 2026. Cites: paper

Machine Learning Across Heterogeneous Biomedical Data: Representation, Integration, and Deployable Systems
Alin Adrian Alecu. Bioengineering, 2026. Cites: paper

Efficient Fine-Tuning Strategies for Domain-Specific Large Language Models: A Comprehensive Study of Parameter-Efficient Methods
Surya Narayana Reddy Chintacunta, Sowjanya Deva. European Journal of Artificial Intelligence and Machine Learning, 2026. Cites: paper

Privacy-Preserving Federated Learning for Multi-Hospital Patient Data Integration
Arul Selvam P, Tamije Selvy P. Advances in computational intelligence and robotics book series, 2026. Cites: paper

Evaluating the Impact of Highlighting and Multi-Step Prompting on Discharge Note Simplification Using In-Context Learning
Mahshad Koohi H. Dehkordi, Sijin Chen, Ayelet Zaidenberg et al. Big Data and Cognitive Computing, 2026. Cites: paper

Multimodal Early Sepsis Prediction using Aligned Transformer Representations and Gradient Boosting
Anoushka Ruikar, Aditya Vivekanand, Reegan Pinto et al. Research Square, 2026. Cites: paper

Prediction models for mortality in patients with sepsis: a systematic review and meta-analysis
Siyuan Lei, Huanrong Ruan, Jun Wang et al. Frontiers in Medicine, 2026. Cites: paper

Prospective and external evaluation of an AI model for continuous and early prediction of moderate and severe AKI in critically ill patients
Francesca Alfieri, Simone Zappalá, Alessandro Bacci et al. Intensive Care Medicine Experimental, 2026. Cites: paper

A Reproducible Framework for Safe LLM-Based Simplification of ICU Discharge Summaries in Clinical Information Systems
Mahmudul Hassan, Tahomina Hassan. Research Square, 2026. Cites: paper

LightFraud a lightweight hybrid deep learning model for real time fraud detection on edge devices
Gladson Oliver S, Kalidass J, T. Suguna et al. Discover Internet of Things, 2026. Cites: paper

A Comprehensive Analysis Of Unbalanced Datasets, Impacts And Mitigation Strategies In Machine Learning
Sayantan Roy, Debjyoti Bagchi, Sreemoyee Pradhan et al. International Journal of Drug Delivery Technology, 2026. Cites: paper

Early prediction of sepsis in the ICU: a comparative analysis of multiple machine-learning algorithms using the MIMIC-III database
Xiuli Shao, Ruiling Li, Yaqi Lan et al. BMC Medical Informatics and Decision Making, 2026. Cites: paper

Adaptive feature unlearning for trustworthy medical imaging privacy
Zhongyi Han, Bin Wang, Shenjing Wu et al. Medical Image Analysis, 2026. Cites: paper

Artificial Intelligence for Neonatal Sepsis Prediction: A Review of Advances, Clinical Integration, and Future Prospects
Onyinyechukwu Joyce Ndubuisi, Chimaoge H. Igboanude, Oranu G ibekie et al. Cureus, 2026. Cites: paper

Dynamic Weighted K-Asynchronous Federated Learning for Privacy-Preserving Intrusion Detection in Wireless Body Area Networks
Soufiane Ben Othman, Darren M. Kennedy. Cognitive Computation, 2026. Cites: paper

Large Language Models in practice: A comprehensive review of privacy risks, attacks, and defense mechanisms for intelligent system deployment
Jianhao Li, Jinsong Wang, Zening Zhao et al. Computer Standards & Interfaces, 2026. Cites: paper

Phosphate-to-albumin ratio and 30-day mortality in critically ill acute pancreatitis: multicenter development and external validation of an interpretable machine learning model
Tien Manh Huynh, T N P Nguyen, Phuc-loi Luu et al. International Journal of Surgery, 2026. Cites: paper

AI-Enabled Clinical Text Processing for Structured Documentation and ICD-10 Coding
Sharunkumar C R, R. Thilagavathy. International Conference on Inventive Research in Computing Applications (ICIRCA), 2026. Cites: paper

CITADEL: a post-quantum secure blockchain framework for privacy-preserving electronic health records with temporally-partitioned federated learning
Nagaraj Segar, Vijayarajan Vijayan. Frontiers in Artificial Intelligence, 2026. Cites: paper

Cited by