Publications citing MIMIC-III Waveform Database v1.0

Transforming neonatal care through informatics: A review of artificial intelligence, data, and implementation considerations
Robert B Barrett, Brooke Lawler, Star Liu et al. Seminars in Perinatology, 2025. Cites: paper

Hierarchical knowledge fusion for enhanced health event prediction: Discriminating between frequent and new diseases
Bin Pu, Mingjian Yang, Yan Kang et al. Information Fusion, 2025. Cites: paper

Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in Healthcare
Nan Fang, Guiliang Liu, Wei Gong. IEEE Transactions on Artificial Intelligence, 2025. Cites: paper

Personalized and safe medication recommendation based on convolutional neural network and transformer architecture
Fengru Ge, Xiaomei Yu, Xue Li et al. Engineering Applications of Artificial Intelligence, 2025. Cites: paper

A large sensor foundation model pretrained on continuous glucose monitor data for diabetes management
Junjie Luo, Abhimanyu Kumbara, Mansur E. Shomali et al. npj Health Systems, 2025. Cites: paper

Toward the Age of Semantic Information: A Deep Learning-Enabled Generalized Deduplication-Based Semantic Transmission Mechanism
Yunlai Xu, Ronghao Gao, Qinyu Zhang et al. IEEE Transactions on Mobile Computing, 2025. Cites: paper

Dynamic weight federated client selection using adaptive genetic algorithm
Yangzhi Lin, Xiaoli Zhao, Zilong Yin. Cluster Computing, 2025. Cites: paper

Medical multimodal foundation models in clinical diagnosis and treatment: Applications, challenges, and future directions
Kai Sun, Siyan Xue, Fuchun Sun et al. Artificial Intelligence in Medicine, 2025. Cites: paper

A Three-Round Knowledge Propagation Learning for ICU First-Visit Prediction Tasks
银芳陈, Hu Nie, Xiaorong Pu et al. Asian Conference on Artificial Intelligence Technology (ACAIT), 2025. Cites: paper

SODM: A Sepsis Patient Survival Rate Optimization Based on Decision Mamba and Survival Analysis Model
Hanbo Zhang, Kai Chen, Ruijie Zhang et al. Asian Conference on Artificial Intelligence Technology (ACAIT), 2025. Cites: paper

Synthetic patient and interview transcript creator: an essential tool for LLMs in mental health
Aleyna Warner, Jeffrey M. LeDue, Yutong Cao et al. Frontiers in Digital Health, 2025. Cites: paper

Technological Evolution and Research Trends of Intelligent Question-Answering Systems in Healthcare
Bingyin Lei, Panpan Yin. Healthcare, 2025. Cites: paper

Additive-Effect Assisted Learning
Jiawei Zhang, Yuhong Yang, Jie Ding. Journal of the Royal Statistical Society Series B (Statistical Methodology), 2025. Cites: paper

An Integrated AI Framework for Occupational Health: Predicting Burnout, Long COVID, and Extended Sick Leave in Healthcare Workers
Maria Valentina Popa, Călin Gheorghe Buzea, Irina Luciana Gurzu et al. Healthcare, 2025. Cites: paper

ChatGPT in cardiovascular medicine: revolution, hype, or helper?
Izabella Uchmanowicz, Maria Jędrzejczyk, Ercole Vellone et al. Frontiers in Public Health, 2025. Cites: paper

Data Divergence-Aware Client Selection via Knowledge Graph for Federated LLM Fine-Tuning
Bihai Zhang, Dan Wang, Yifei Zhu et al. IEEE Transactions on Mobile Computing, 2025. Cites: paper

Large Language Models Evaluation for PubMed Extractive Summarisation
Tian Xia, Flavio Bertini, Danilo Montesi. ACM Transactions on Computing for Healthcare, 2025. Cites: paper

Transparency of medical artificial intelligence systems
Chanwoo Kim, Soham U. Gadgil, Su‐In Lee. Nature Reviews Bioengineering, 2025. Cites: paper

LTR-ICD: A Learning-to-Rank Approach for Automatic Medical Coding (Preprint)
Mohammad Mansoori, Amira Soliman, Kobra Etminani. 2025. Cites: paper

A survey of large language models for data challenges in graphs
Mengran Li, Pengyu Zhang, Wenbin Xing et al. Expert Systems with Applications, 2025. Cites: paper

Read-ICU: An Ensemble Deep Learning Model for ICU Readmission Prediction
Emanuele Koumantakis, Konstantina Remoundou, Stavros Xynogalas et al. Epidemiology Biostatistics and Public Health, 2025. Cites: paper

Machine Learning-Based Risk Assessment for Pressure Ulcers in Critical Care Patients
Kishore Arul. International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings), 2025. Cites: paper

Rethinking the Privacy of Text Embeddings: A Reproducibility Study of “Text Embeddings Reveal (Almost) As Much As Text”
Dominykas Šeputis, Yongkang Li, Karsten Langerak et al. ACM Conference on Recommender Systems (RecSys), 2025. Cites: paper

Correlation between blood urea nitrogen/albumin levels and 30-day all-cause mortality in critically Ill patients with heart failure: a retrospective cohort study and predictive model development based on machine learning
Wen-Ting Sun, Pei-Feng Chang, Wenhui Liu et al. Frontiers in Cardiovascular Medicine, 2025. Cites: paper

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments
Deliang Jin, Gang Chen, Shuo Feng et al. Machine Learning and Knowledge Extraction, 2025. Cites: paper

Metaverse-assisted telesurgery in Healthcare 5.0.
Roopa Chandrika R, Lavanya Vudayagiri, B. Rupa Devi et al. Elsevier eBooks, 2025. Cites: paper

Optimizing Cardiovascular Disease Prediction Using Machine Learning Models on Heart Disease Dataset
Sai Pranavi Alampally, Kishor Kumar Reddy C, Swathi Sree M. et al. International Conference on Information Systems and Computer Networks (ISCON), 2025. Cites: paper

ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning
Guangzhi Xiong, Sanchit Sinha, Aidong Zhang. ACM Transactions on Knowledge Discovery from Data, 2025. Cites: paper

The Adaptive Healthcare Organization: AI-Powered Cultural Intelligence for Digital Transformation Success
Ashish Kumar Kalvakota, Dilip Kumar Sharma. International Conference on Information Systems and Computer Networks (ISCON), 2025. Cites: paper

AI integration and its importance in critical care medicine: Augmented Critical Care Ecosystems (ACCEs)
Ever Leonardo Rojas Díaz, Ledys Maria Izquierdo, Andrés Rico et al. Acta Colombiana de Cuidado Intensivo, 2025. Cites: paper

Detecting the Undetected: Machine Learning in Early Disease Diagnosis
Kanika Rathi, Sakshi Sharma, Anil Prasad Barnwal. Basic & Clinical Pharmacology & Toxicology, 2025. Cites: paper

Artificial intelligence at the bedside for the prevention, detection, and management of acute kidney injury
Benjamin Shickel, Tezcan Ozrazgat‐Baslanti, Azra Bihorac. Current Opinion in Nephrology & Hypertension, 2025. Cites: paper

Development, optimization, and preliminary evaluation of a novel artificial intelligence tool to promote patient health literacy in radiology reports: The Rads-Lit tool
Rushabh H. Doshi, Kanhai Amin, Shin Mei Chan et al. PLoS ONE, 2025. Cites: paper

Explainable mortality prediction models incorporating social health determinants and physical frailty for heart failure patients
Zhenyue Gao, Xiaoli Liu, Yu Kang et al. PLoS ONE, 2025. Cites: paper

QAMT: An LLM-Based Framework for Quality-Assured Medical Time-Series Data Generation
Yi Luo, Yong Zhang, Chunxiao Xing et al. Sensors, 2025. Cites: paper

Query-efficient and dataset-independent red teaming for LLMs content safety evaluation
Shuo Liu, Xiang Cheng, Sen Su. Knowledge-Based Systems, 2025. Cites: paper

Predicting 30-day hospital readmissions using ClinicalT5 with structured and unstructured electronic health records
Sanjib Raj Pandey, Joy Dooshima Tile, Mahdi Maktabdar Oghaz. PLoS ONE, 2025. Cites: paper

A review on recent advancements of ChatGPT and datafication in healthcare applications
Senthil Kumar Jagatheesaperumal, Abinaya Pandiyarajan, B. Prabadevi et al. Computers in Biology and Medicine, 2025. Cites: paper

Efficacy of Multidisciplinary Team-Based Cardiopulmonary Rehabilitation in Improving Outcomes for Patients with Intensive Care Unit-Acquired Weakness: A Retrospective Cohort Study
Shaohua Cui, Shengwei Zhang, Huijuan Ren et al. Journal of Multidisciplinary Healthcare, 2025. Cites: paper

Privacy-Preserving Federated Learning with Adaptive Differential Privacy for Healthcare Data Aggregation
Sankara Rao. Pusarla, Pallavi Jha, Naga Venkateshwara Rao K et al. International Conference on Computing and Communications (COMPUTINGCON), 2025. Cites: paper

Strategies for the Analysis and Elimination of Hallucinations in Artificial Intelligence Generated Medical Knowledge
Fengxian Chen, Yan Li, Yaolong Chen et al. Journal of Evidence-Based Medicine, 2025. Cites: paper

The Ideal Human Care in Green ICU: An integrated AI framework for future ICU care
Masoud Arabfard, Alvin D. Jeffery, Seyed Tayeb Moradian et al. Intensive and Critical Care Nursing, 2025. Cites: paper

Towards Reliable Prediction: A Bayesian Continual Learning Approach for Clinical Time-Series Data
Zhen Cao, Jeanette Poh Wen Jun, Yang Guo et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Effects of Follow-Up Interval and Care Setting on Valve Severity Changes Between Successive Echocardiograms: Secondary Analysis of MIMIC-III EchoNotes Cohort (Preprint)
Le Huu Nhat Minh, Dang H. Nguyen, Heath Rutledge-Jukes et al. 2025. Cites: paper

Enhancing Clinician Trust in AI Diagnostics: A Dynamic Framework for Confidence Calibration and Transparency
Yunguo Yu, Cesar Abraham Gomez-Cabello, Syed Ali Haider et al. Diagnostics, 2025. Cites: paper

Mutual transfer learning for cuff-less blood pressure estimation using photoplethysmography-based visibility graphs
Chenbin Ma, Zhenchang Liu, Peng Zhang et al. Engineering Applications of Artificial Intelligence, 2025. Cites: paper

Personalized health monitoring using explainable AI: bridging trust in predictive healthcare
M. Sree Vani, Rayapati Venkata Sudhakar, A. Mahendar et al. Scientific Reports, 2025. Cites: paper

Yapay Zeka ve Derin Öğrenmenin Sağlık Bilişimi Üzerine Etkisi: Literatür Tabanlı Bir İnceleme
Ömer Çelik, Nezihe Tüfekçi. Türkiye Sağlık Bilimleri ve Araştırmaları Dergisi, 2025. Cites: paper

A Review of Unlabeled and Imbalanced Data Challenges in Machine Learning: Strategies and Solutions
Neethu M S, Vinod Chandra S S. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, 2025. Cites: paper

Optimising personalised antibiotic treatment for methicillin-resistant Staphylococcus aureus bloodstream infections in ICU patients using a deep learning–based causal inference approach
Min Woo Kang, Shin Young Ahn. Journal of Global Antimicrobial Resistance, 2025. Cites: paper

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