Cited by
3604 publications cite any version of this project or its primary paper, newest first.
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Association between blood pressure response index and mortality in decompensated heart failure: A real-world study
Gang Li, Fangyi Li, Mingliang Huang et al. International Journal of Cardiology, 2026. Cites: paper -
Automated Generation of Synthetic Medical Dialogues Using Large Language Models
Farnod Bahrololloomi, Johannes Luderschmidt, Biying Fu. ACM Southeast Conference (ACMSE), 2026. Cites: paper -
De Ritis Ratio and Heparin Therapy in Sepsis-Associated Liver Injury: A Multicenter Cohort Study
Bo Yu, Dazheng Li, Yingyi Luan et al. Thrombosis and Haemostasis, 2026. Cites: paper -
MANNERS: A strategy for representation learning in multivariate datasets with high proportions of missing data
Louis Bellmann, Maximilian Nielsen, Philipp Breitfeld. Patterns, 2026. Cites: paper -
Lightweight large language models for early sepsis prediction via a semantic abstraction rule engine
Yang Yang, Bin Yi, Yuwen Chen. Scientific Reports, 2026. Cites: paper -
Enhancing large language model clinical support information with machine learning risk and explainability: a feasibility study
Yu‐Chang Yeh, Hsin-Yu Yang, Ching‐Tang Chiu et al. Intensive Care Medicine Experimental, 2026. Cites: dataset, paper -
Explainable machine learning-based mortality prediction in critically ill patients with rheumatoid arthritis-associated lung disease: a radiomics and clinical data integration study
Yubing He, Rui Liang, Yawen Zhang et al. BMC Medical Imaging, 2026. Cites: paper -
Machine learning-based precision subtyping and risk prediction in sepsis: a retrospective analysis using MIMIC-IV database
Y Li, Wenjian Luo, Q Zhang et al. BMC Infectious Diseases, 2026. Cites: paper -
MO-GRPO-Med: A Multi-Objective Framework for Generating Safe and High-Quality Discharge Instructions
Qingyang Shen, Xiaozhi Zhang, Quan Guo et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper -
Organ failure sequence predicts hospital mortality in sepsis: A multicenter retrospective cohort study
Dongpo Liu, Hongkai Liang, Yiqiang Zhang et al. Journal of Critical Care, 2026. Cites: paper -
Robust Multimodal Representation Learning in Healthcare
Xiaoguang Zhu, Linxiao Gong, L. C. Sun et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper -
UniPACT: A Multimodal Framework for Prognostic Question Answering on Raw ECG and Structured EHR
Jialu Tang, Tong Xia, Yuan Lü et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper -
Development and Validation of an Early Prediction Model for Postoperative Gastrointestinal Bleeding After Cardiac Surgery Using the MIMIC-IV Database
Xiaohe Li, Qi Shen, Z Liu et al. The Heart Surgery Forum, 2026. Cites: paper -
Development and validation of clinical phenotypes in sepsis-associated liver injury using multi-algorithm consensus classification: a retrospective cohort study
Xiaoman Xie, Zhixian Zhu, XinYu Cao et al. BMC Infectious Diseases, 2026. Cites: paper -
Impact of eosinophil levels on postoperative clinical outcomes in patients undergoing extracorporeal circulation: a retrospective cohort study
Li Li, Jia-Mao Wang, Jia-Cheng Xu et al. BMC Cardiovascular Disorders, 2026. Cites: paper -
Methodology for Generating High Fidelity Synthetic Data to Improve Mortality Prediction for Patients in Intensive Care Units
Marcos Díaz Bastida, Ramiro A. Pérez Vázquez, Rafael Bello Pérez. SN Computer Science, 2026. Cites: paper -
Modality-Specific Sparse Autoencoders for Efficient Multimodal ICU Alignment: A Symmetry–Asymmetry Learning Framework
Hashim Ali, Muhammad Tahir Akhtar. Symmetry, 2026. Cites: paper -
Natural Language Processing for Surgical Quality Enhancement
Lakshika Tennakoon, Nathan Roll, Lisa Marie Knowlton et al. Journal of Surgical Research, 2026. Cites: paper -
Neutrophil-to-Lymphocyte-to-Platelet Ratio Predicts Acute Kidney Injury in Critically Ill Heart Failure Patients
Weiyu Yu, Zekai Zeng, Guifu Wu. Research Square, 2026. Cites: paper -
Associations of lactate-to-hematocrit ratio with short- and long-term prognoses in critically ill patients with respiratory failure: A retrospective cohort study
Zhipeng Li, Xiao Yang, Xianzhang Shan et al. Medicine, 2026. Cites: paper -
LATEE: An Intelligent Tutoring System with AI Assistant and Virtual Patients for Clinical Diagnostic Reasoning Training
Tu Nguyen, Tan Dang, Duy Nguyen et al. International Conference on Information and Education Technology (ICIET), 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 -
Propofol Use and Delirium in Patients Aged 80 Years and Over: A Retrospective Cohort Study of 9850 ICU Admissions
Shengnan Kong, X D Li, Weisheng Chen et al. Drugs & Aging, 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: dataset -
Stress Hyperglycemia Ratio and the Risk of Sepsis in Patients With Heart Failure: Retrospective Cohort Study From Medical Information Mart for Intensive Care-IV
Xianzhen Cai, Baoxin Yan, Jinhao Chen et al. JMIR Medical Informatics, 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 -
KG-Sepsis: Knowledge-Guided Temporal Graph Neural Networks for Early Sepsis Prediction in ICU
Sazzad Hossen Chowdhury, Zarin Tasneem, Gazi Shaharabi Anwar Tuhin et al. IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN), 2026. Cites: paper -
LMFNet: A Lightweight Multimodal Fusion Network for Early Chronic Disease Detection on Edge Devices
Ali Asgar Chowdhury, Gazi Shaharabi Anwar Tuhin, MI Hasan et al. IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN), 2026. Cites: paper -
Medical multimodal large language models: A survey
Hanguang Xiao, Ningzhi Hui, Yong Xu et al. Information Fusion, 2026. Cites: paper -
Acute kidney injury complications and kidney replacement therapy as mediators of mortality in critically ill patients
Vitor Dantas Macedo, André Libório, Alexandre Braga Libório. Anaesthesia Critical Care & Pain Medicine, 2026. Cites: paper -
Association between the serum sodium-to-chloride ratio and 30-day mortality following coronary artery bypass grafting: insights from the MIMIC-IV database
Zhisheng Yan, Yu Qiao, Haixia Sun et al. BMC Cardiovascular Disorders, 2026. Cites: paper -
Fine-Tuning PubMedBERT for Hierarchical Condition Category Classification from Clinical Notes
X Wang, Noah E. Hammarlund, Mattia Prosperi et al. medRxiv, 2026. Cites: paper -
Impact of 24-hour urine output trajectories on 28-day mortality in people with urinary tract infection: based on the MIMIC-IV database
Huanlong Du, Dongzhi Wang, Jinhai Shao et al. BMC Infectious Diseases, 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 -
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 -
Admission Neutrophil-to-Platelet Ratio as an Independent Predictor of Mortality in Critically Ill Patients with AECOPD: A MIMIC-IV Database Analysis
Huihua Hong, Rundi Gao, Suqun Zheng et al. Research Square, 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 -
Clinical Outcomes Associated With In-Hospital Versus Delayed Outpatient Initiation of Sacubitril/Valsartan in Patients With Heart Failure With Reduced Ejection Fraction
Helen Oletu, Akinyele O. Oladimeji, Nneka Muoghalu et al. Cureus, 2026. Cites: dataset -
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 -
Association between glycemic variability and the risk of acute kidney injury in patients with traumatic brain injury: a retrospective cohort study with independent cohort analysis
Yajing Feng, Lizhen Liu, Yinlong Ren et al. Frontiers in Neurology, 2026. Cites: paper -
Model-Driven Engineering of Synthetic Data Pipelines for AI-Enabled Healthcare Systems
Mukhtar Sani, Nicholas Matragkas, Nam Khanh Nguyen. IEEE/ACM International Conference on AI Engineering – Software Engineering for AI (CAIN), 2026. Cites: paper -
PKFAR: psychiatry knowledge-fused augmented reasoning with large language models
Rongzheng Wang, Chao Yu, Qian Dong et al. Health Information Science and Systems, 2026. Cites: paper -
Serum 25-hydroxyvitamin D levels and Clostridioides difficile-induced enteritis: findings from observational and Mendelian randomization studies
Renli Wang, Zhaojun Xu, Rongjun Liu. Archives of Medical Science, 2026. Cites: dataset -
A rapidly personalized in-hospital bloodstream infection prediction model: a multicenter retrospective study
menglin Ni, Wanjun Liu, Manru Li et al. BMC Infectious Diseases, 2026. Cites: paper -
Association between vasopressor dose and feeding intolerance in critically ill patients receiving enteral nutrition: A retrospective cohort study from the MIMIC-IV database
Weifeng Yuan, Zhuomin Li, Qinqin Shu et al. Clinical Nutrition ESPEN, 2026. Cites: paper -
Target trial emulation of early acetaminophen use and mortality in critically ill stroke patients
Xinyan Wang, Kangda Zhang, Youxuan Wu et al. Scientific Reports, 2026. Cites: paper -
Deep Neural IC Architecture Inspired by the IBM Watson Chip for Federated and Blockchain-Enabled Predictive Disease Diagnosis
Adinath M, S. Tamilselvi, R Vijayalakskmi et al. International Conference on AI-Driven Innovations & Applications (IC-AIDA), 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 -
Parameter-efficient fine-tuning with layer pruning on medical sequence-to-sequence modeling
Yunqi Zhu, Yuanyuan Wu, Wensheng Zhang et al. Health Information Science and Systems, 2026. Cites: paper -
Severe viral rash progression prediction and surveillance early warning based on local-global attention and temporal convolutional network
Sai Li, Zhengqiu Li, Yi Mo et al. Frontiers in Public Health, 2026. Cites: paper
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