Cited by
MIMIC-III Waveform Database Matched Subset (v1.0)
7929 publications cite any version of this project or its primary paper, newest first.
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Adversarial Error Mitigation Technique for Sensor Fusion Framework on Dynamic Edge Computing Platform
Modukuri Chiranjeevi, Ameet Chavan. Arabian Journal for Science and Engineering, 2025. Cites: paper -
Critique of impure reason: Unveiling the reasoning behaviour of medical large language models
Shamus Zi Yang Sim, Tyrone Chen. eLife, 2025. Cites: paper -
Assessment of a Zero-Shot Large Language Model in Measuring Documented Goals-of-Care Discussions
Robert Y. Lee, Kevin S. Li, James Sibley et al. Journal of Pain and Symptom Management, 2025. Cites: paper -
DASHES—Autonomous and Secure Framework for Connected Healthcare With Consumer Electronics
Khalid Mahmood, Hashem Alaidaros, Mahmood ul Hassan et al. IEEE Transactions on Consumer Electronics, 2025. Cites: paper -
Enhanced NLP for Medical Text Classification: A Deep Active Learning Approach
Palaparthi Seethalakshmi, Dhawaleshwara Rao CH, K. Swaroopa. Engineering Technology & Applied Science Research, 2025. Cites: paper -
Infectious Disease Surveillance in the Era of Big Data and AI: Opportunities and Pitfalls
Courage O Idahor, Ena-Jane O Esomu, Ndidiamaka Ogbonna et al. Cureus, 2025. Cites: paper -
Integrating Meta-Learning Methods with Spatiotemporal Graph Neural Networks for Critical Heart Disease Outcome Prediction from Electronic Health Records
G. Muthu Chitra, Muzamil Basha Syed. Engineering Technology & Applied Science Research, 2025. Cites: paper -
Prediction of Respiratory Tract Infections Using IoT and RNN Techniques
Latika Shyam Pinjarkar, Savarimuthu Sagayamary, Rekha P. et al. Engineering Technology & Applied Science Research, 2025. Cites: paper -
A Disease Feature Fusion and Drug Constraint Decision GNN Model for Personalized Drug Recommendation
Zan Kong, Wentong Wan, Jing Zhao et al. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics, 2025. Cites: paper -
Structure-aware Hypergraph Transformer for Diagnosis Prediction in Electronic Health Records
Haiyan Wang, Y. Adam Yuan. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics, 2025. Cites: paper -
A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications
Wenbo Shang, Xin Sunny Huang. IEEE Transactions on Knowledge and Data Engineering, 2025. Cites: paper -
AI-Driven Integration and Workflow Optimization in Modern Healthcare Facilities
S. Usharani, Manju Bala P., A. Devi et al. Advances in computational intelligence and robotics book series, 2025. Cites: paper -
AI-driven transcriptomic biomarker discovery for early identification of pediatric deterioration in Acute Care
Qing Wang, Lina Sun, Meng Wei et al. SLAS TECHNOLOGY, 2025. Cites: paper -
Artifact management methodologies for arterial blood pressure signals: A systematic scoping review of human and animal literature
Tobias J. G. Bergmann, Nuray Vakitbilir, Xue Nemoga‐Stout et al. Physiological Reports, 2025. Cites: paper -
Enhancing Patient-Centric Synthetic Data Generation: A Comparative Analysis for Chronic Kidney Disease
Candelaria Alvarez, José Ibeas, Javier Balladini et al. Communications in computer and information science, 2025. Cites: paper -
Enhancing substance use detection in clinical notes with large language models
Fabrice Harel-Canada, Anabel Salimian, Brandon Moghanian et al. Drug and Alcohol Dependence, 2025. Cites: paper -
Online estimation and inference for robust policy evaluation in reinforcement learning
Weidong Liu, Jiyuan Tu, Xi Chen et al. The Annals of Statistics, 2025. Cites: paper -
Population-based multistate modelling of peritraumatic opioid use among trauma patients from the Norwegian Trauma Registry. Comment on Br J Anaesth 2025; 135: 390–400
Wen Ding. British Journal of Anaesthesia, 2025. Cites: paper -
Secure Federated Generative Transformers for Trustworthy Diagnostics in Global Healthcare Networks
Santosh Kumar. IEEE Baja California Conference (BCC), 2025. Cites: paper -
SpecMedRAG: A Multi-Granularity Graph RAG for Specialty Medicine
Zhen Yun Duan, Yuyang Song, Jie Chen et al. International Conference on Cyberworlds (CW), 2025. Cites: paper -
The Impact of Artificial Intelligence on Contemporary Hospital Systems
D Rajeswari, K. J. Amala, Athish Venkatachalam. Advances in computational intelligence and robotics book series, 2025. Cites: paper -
Enhancing ICD classification with semantic embedding rectification and long-tail refinement
Yuhao Wu, Yifan Wu, Wei Fan et al. Knowledge-Based Systems, 2025. Cites: paper -
Harnessing operating room signals to estimate mean arterial pressure with AnesthNet
Jade Perdereau, Jona Joachim, Fabrice Vallée et al. Scientific Reports, 2025. Cites: paper -
An infection prediction model developed from inpatient data can predict out-of-hospital COVID-19 infections from wearable data when controlled for dataset shift
Ting Feng, Sara Mariani, Bryan Conroy et al. Scientific Reports, 2025. Cites: paper -
Extração de Eventos em Notas Clínicas
João Augusto F. Balducci, Saullo H. G. de Oliveira. Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana (STIL), 2025. Cites: paper -
Blockchain and InterPlanetary Framework for Decentralized and Secure Electronic Health Record Management
Samia Sayed, Muammar Shahrear Famous, Rashed Mazumder et al. Blockchains, 2025. Cites: paper -
DFHD: dual-granularity fusion network using historical drugs for drug recommendation
Kang An, Mingyu Lu, Yan-Kai Tian et al. Expert Systems with Applications, 2025. Cites: paper -
TempEHR: A Temporal Dependency-Based Approach for Synthesizing Electronic Health Records
Emmanuella Budu, Amira Soliman, Farzaneh Etminani et al. Lecture notes in computer science, 2025. Cites: paper -
A Structural Change Detection Method Integrating Causal Inference and Deep Learning
Tong Liu, Hualin Liu. International Journal of Pattern Recognition and Artificial Intelligence, 2025. Cites: paper -
Optimized Energy-Efficient IoT Healthcare Systems Using Hierarchical Deep Reinforcement Learning
Ballari Supraja, Kiran Kumar. V, Krishna Kumar N. IEEE International Conference on Advances in Computing Research on Science Engineering and Technology (ACROSET), 2025. Cites: paper -
Learning with Missing Information in Electronic Health Records for Clinical Outcome Prediction
Zhiqiang Pan, Zihao Nie, Mingda Li et al. China Automation Congress (CAC), 2025. Cites: paper -
Multi-label imbalanced text handling using ensemble methodology with application to biomedical data classification
Subhajit Ghosh, Sanidhya Gupta, Sourav Bhattacharyya et al. Iran Journal of Computer Science, 2025. Cites: paper -
Predictive value of seven scoring systems for 28-day mortality in ICU patients with Sleep apnea–hypopnea syndrome (SAHS) and clinical indicators
Yingzi Tian, Zifan Zhuang, Mingwan Su et al. European journal of medical research, 2025. Cites: paper -
Topic-Aware Multi-Task Learning for Depression Detection
Zhuhong Lu, Fei Xie, Zhiyuan Guo. International Conference on Advanced Computer Theory and Engineering, 2025. Cites: paper -
Autonomous artificial intelligence prescribing a drug to prevent severe acute graft-versus-host disease in HLA-haploidentical transplants
Junren Chen, Yigeng Cao, Yahui Feng et al. Nature Communications, 2025. Cites: paper -
Federated propensity score matching: a method for estimating average treatment effect based on data in Islands
Yang Liu, Nan Wang, Xin Ye. Annals of Operations Research, 2025. Cites: paper -
RAGMed: A RAG-Based Medical AI Assistant for Improving Healthcare Delivery
Rajvardhan Patil, Manideep Abbidi, Sherri Fannon. AI, 2025. Cites: paper -
Adaptive federated learning with differential privacy for multi-institutional healthcare diagnosis: the DP-FedAvg+ framework
Ruwaida Mohammed Yas. Journal of Artificial Intelligence Machine Learning and Neural Network, 2025. Cites: paper -
A survey for large language models in biomedicine
Chong Wang, Mengyao Li, Junjun He et al. Artificial Intelligence in Medicine, 2025. Cites: paper -
Explainable Prediction of ICU Transfer in Acute Pancreatitis: A Neural Network Model With SHAP Interpretability for Clinical Decision Support
Mingchang Chen, Jiayi Shi. IEEE Transactions on Biomedical Engineering, 2025. Cites: paper -
Large Language Models (LLMs) in Medical Error Detection and Correction: A Comprehensive Review
Roshan Chandru, Provia Kadusabe, Asifa Mehmood Qureshi et al. Springer eBooks, 2025. Cites: paper -
Refining medical large language models: key insights from instruction tuning
Muneerah Q. Alqahtani, Abdullah A. Al-Barakati, Fahd Saleh Alotaibi. PeerJ Computer Science, 2025. Cites: paper -
BlockAI: An Intelligent Framework for Securing Information Exchange in Health Systems
Joseph Merhej, Hassan Harb, Abdelhafid Abouaïssa et al. SN Computer Science, 2025. Cites: paper -
Predictive Multimodal Modeling of Diagnoses and Treatments in EHR
Cindy Shih-Ting Huang, Clarence Boon Liang Ng, Marek Rei. Lecture notes in computer science, 2025. Cites: paper -
Equitable Federated Learning with NCA
Nick Lemke, Mirko Konstantin, Henry Krumb et al. Lecture notes in computer science, 2025. Cites: paper -
SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-World Breast MRI Classification
Jong Bum Won, Wesley De Neve, Joris Vankerschaver A et al. Lecture notes in computer science, 2025. Cites: paper -
Causal Representation Learning with Observational Grouping for CXR Classification
Rajat Rasal, Avinash Kori, Ben Glocker. Lecture notes in computer science, 2025. Cites: paper -
Federated Learning for Internet of Medical Things (IoMT): A Secure and Scalable Approach
Ankur Mehra, Gurpreet Singh, Sumit Badotra. International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2025. Cites: paper -
Knowledge-Enhanced Complementary Information Fusion with Temporal Heterogeneous Graph Learning for Disease Prediction
Zongbao Yang, Shihuan He, Zhichen Chen et al. Lecture notes in computer science, 2025. Cites: paper -
Learning Across the Divide: Personalised Federated Learning for Robust Clinical Modelling Under Data-View Heterogeneity
Soheila Molaei, Anshul Thakur, Lei Clifton et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.