Publications citing MIMIC-III Clinical Database Demo v1.4

Commercial or industrial use of mental health data for research: primer and best-practice guidelines from the DATAMIND patient/public Lived Experience Advisory Group
Linda A. Jones, Corrine Barber, Naomi Clements-Brod et al. Frontiers in Psychiatry, 2026. Cites: paper

Enhanced drug recommendation based on dynamic clinical trajectory aggregation and geometry-enhanced molecular representation
Shidi Zhang, Xiaobo Li, Nurbol Luktarhan et al. Expert Systems with Applications, 2026. Cites: paper

Explainability Challenges in Medical AI: The Conceptual Hidden Cost of Machine Learning Preprocessing
Ahmed M. Salih. Health Science Reports, 2026. Cites: paper

Learning multimodal representations for incomplete EHRs with retrieval-augmented personalized modality recovery
Bohao Li, Bowen Du, Junchen Ye. Information Fusion, 2026. Cites: paper

Optimising pain identification in resource-limited emergency departments using transfer learning and fine-tuned language models
Yutong Wu, James A. Hughes, Chantelle Judge et al. Journal of the American Medical Informatics Association, 2026. Cites: paper

Programmable Dataflows: Abstraction and Programming Model for Data Sharing
Siyuan Xia, Chris Zhen Gan Zhu, Tapan Srivastava et al. The VLDB Journal, 2026. Cites: paper

Smart privacy-preserving patient monitoring (SP3M) using IoMT enabled edge-cloud federated learning with blockchain and GNN-autoencoders
Zain Abubaker, Kainat Nazir. Computer Networks, 2026. Cites: paper

Healthcare digital twins: A methodological literature review on integrating iot and AI for personalized medicine and predictive care
Sara Shahnazinia, Mahsa Tavasoli, Abdolhossien Sarrafzadeh et al. Telematics and Informatics Reports, 2026. Cites: paper

Improving few-shot named entity recognition for large language models using structured dynamic prompting with retrieval augmented generation
Yao Ge, Yuting Guo, Sudeshna Das et al. npj Artificial Intelligence, 2026. Cites: paper

Multimodal contrastive prognostication framework for early neurological outcome prediction in post-cardiac arrest patients
Akhil Kasturi, Ashley R. Proctor, Ali Vosoughi et al. Scientific Reports, 2026. Cites: paper

Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text Classification
Nan Li, Bo Kang, Tijl De Bie. Machine Learning, 2026. Cites: paper

A Blockchain-Assisted Holographic Counterparts for Secure Consumer Electronics in Healthcare 4.0
Ashish Kumar, Kakali Chatterjee, Ashish Pratap Singh et al. IEEE Transactions on Consumer Electronics, 2026. Cites: paper

Artificial intelligence applied to care (II): algorithms and applications
Reyes Grangel, María Victoria Ibáñez Gual, Amelia Simó Vidal et al. Enfermería Clínica (English Edition), 2026. Cites: paper

Interpretable machine learning for prognostic prediction in critically ill patients with coronary artery disease: a multicenter study
Shuai Yang, Shuo Zhang, Lianzheng Ma et al. Frontiers in Medicine, 2026. Cites: paper

Machine Learning-Based Prediction of Mortality in Geriatric Traumatic Brain Injury Patients
Yong Si, Junyi Fan, L. Sun et al. BioMedInformatics, 2026. Cites: paper

XAI-driven clinical decision support framework for early detection of chronic diseases in smart healthcare
Abhijith Mohan. Journal Healthcare Treatment Development, 2026. Cites: paper

Evaluating cross-dataset transfer learning for photoplethysmography-based blood pressure estimation
Yoon Chul Kim, Hyun Jae Baek. Scientific Reports, 2026. Cites: paper

Prediction of in-hospital mortality risk in cardiac arrest patients using machine learning models: a study based on the MIMIC-IV database with external validation from Yunnan University Affiliated Hospital
Ji Dong Jia, Wen Zhang, Hualei Dai et al. BMC Medical Informatics and Decision Making, 2026. Cites: paper

FT-BERT-GAN: an enhanced Feature-Type-Aware BERT (FT-BERT) with GAN for privacy-preserving synthetic text generation
Raman Kumar, Sankaramoorthy Narayanasamy, Chappidi Sreenivasa Rao et al. International Journal of Data Science and Analytics, 2026. Cites: paper

IB-Mix: Information Bottleneck and Mixup for Class-Imbalanced Image Classification
Wisdom Xornam Ativi, Wenyu Chen, Lazarus Kwao et al. Asia Conference on Algorithms, Computing and Machine Learning (CACML), 2026. Cites: paper

Performance fairness of neural network models in early risk assessment of inpatients with varying severity: a retrospective study
Lan Lan, Shixin Huang, Yang Chen et al. BMC Medical Informatics and Decision Making, 2026. Cites: paper

CF-GNN: An Imbalance-Aware Counterfactual Graph Neural Network for ICU Mortality Prediction in Coronary Artery Disease Patients
Geetha Pratyusha Miriyala, Arun Kumar Sinha. IEEE International Conference on AI Engineering and Innovations (AIEI), 2026. Cites: paper

Enhancing fairness and privacy in federated graph neural networks via macro-level restructuring
Dengfeng Tan, Zuobin Ying, Yajie Wang et al. Knowledge-Based Systems, 2026. Cites: paper

Generative AI-Enhanced Data Engineering Pipelines for Predictive Biomarker Discovery in Alzheimer’s and Kidney Disease
Mahesh Recharla, Ravi Shankar Garapati, Velangani Divya Vardhan Kumar Bandi et al. IEEE International Conference on AI Engineering and Innovations (AIEI), 2026. Cites: paper

Multimodal ICU In-hospital Mortality Prediction: A Scoping Review of Transparency, Calibration, and Translation Readiness
Alexander Bakumenko, Janine Hoelscher, Dane Hudson Smith et al. Research Square, 2026. Cites: paper

RACE-Fusion: Reliability- and Calibration-Enhanced Tri-Modal Learning from ECG, Echocardiography, and EHR
Bikram Kumar, T Narayanan, Bikram Kumar. World Conference on Computational Science and Technology (WcCST), 2026. Cites: paper

Sample size calculation for training ensemble machine learning models on health data
Nicholas Mitsakakis, Dan Liu, Thomas D. Walters et al. Patterns, 2026. Cites: paper

Dynamic association between triglyceride-glucose-body mass index and hospital mortality in critically ill patients with heart failure: a multicenter retrospective cohort study
Shuang Liu, Yuzhou Cai, Chenming Shi et al. Cardiovascular Diabetology, 2026. Cites: paper

Rôle de l’intelligence artificielle en recherche clinique : promesses, méthodologie d’évaluation et intégration opérationnelle
Loïc Verlingue, Camille Brodin, Jean‐Yves Blay. Bulletin de l Académie Nationale de Médecine, 2026. Cites: paper

Translator-Oriented AI for Medical Record Reconciliation (TOAI-MR)
Anas Alsobeh, Amani Shatnawi, Rafat Hammad. IEEE International Conference on Secure IoT, Assured and Trusted Computing (SATC), 2026. Cites: paper

Biomedical Named Entity Recognition and Relation Extraction: Methodologies, Challenges & Opportunities
Andr´e Gonc¸alves, Henrique Lopes Cardoso, L. P. Reis. IEEE Transactions on Computational Biology and Bioinformatics, 2026. Cites: paper

CBPE: Causal-aware Blood Pressure Estimation with Multimodal Data
Hoyoon Byun, Seong-Jin Park, Jinho Kang et al. ACM Symposium on Applied Computing, 2026. Cites: paper

DynaMamba: Multi-scale dynamic interacting Mamba network for irregular clinical time series classification
Hao Chen, Junjie Zhang, Xiaowei Yan et al. Journal of Biomedical Informatics, 2026. Cites: paper

A systematic review of artificial intelligence-driven decentralized learning in healthcare: emerging techniques, applications, challenges and future directions
Zehui Zhao, Laith Alzubaidi, Haider A. Alwzwazy et al. Artificial Intelligence Review, 2026. Cites: paper

LLM-based harmonized data ingestion for dataspace: a novel system for automating data ingestion across heterogeneous data sources
Parwinder Singh, Michele Gaspari, Nirvana Meratnia et al. Knowledge-Based Systems, 2026. Cites: paper

Association of the Endothelial Activation and Stress Index (EASIX) with short-term mortality in critically ill patients with congestive heart failure: A retrospective cohort study from the MIMIC database
Xiao Dong, Yingxiu Huang, Ming Hu et al. Medicine, 2026. Cites: paper

Central venous pressure measurement is associated with improved outcomes in critically ill elderly patients: A propensity score matched cohort study based on the MIMIC-III database
Jun Wang, Huiguo Ding, Yang-Ru-Rou Liu et al. Medicine, 2026. Cites: paper

Ontology-Based Medication Named Entity Recognition Using Pretrained Transformer Models From a Thai Hospital: Model Fine-Tuning and Validation Study
Natthanaphop Isaradech, Wachiranun Sirikul, Stefan Schulz et al. JMIR Formative Research, 2026. Cites: paper

Prognostic Value of the Acute Physiology and Chronic Health Evaluation II (APACHE II) Score in Secondary Peritonitis: A Narrative Review
Shubham Ramanbhai Kotwal, Dhaval V Patel, Dr.CHIRAL L. BAMANIYA. Cureus, 2026. Cites: paper

Optimizing real-time phenotyping in critical care using machine learning on electronic health records
Piotr Picheta, Stanisław R. Deniziak. Expert Systems with Applications, 2026. Cites: paper

Toward Better Privacy-Protected Federated Learning for Healthcare Services in Non-IID Scenarios
Yanli Li, Jifei Hu, Hang Zhang et al. IEEE Transactions on Emerging Topics in Computational Intelligence, 2026. Cites: paper

DispatchMAS: fusing taxonomy and artificial intelligence agents for emergency medical services
Xiang Li, Huizi Yu, Wenkong Wang et al. BMC Emergency Medicine, 2026. Cites: paper

The causal transparency framework: a multi-metric approach to algorithmic accountability
John Gabriel O. Marko, Daniel C. Neagu, P. B. Anand. AI and Ethics, 2026. Cites: paper

Yapay Zekâ Tabanlı Sentetik Hasta Modellemesi ile Karar Destek Sistemlerinin Geliştirilmesi
Utku Köse, Emine Betül Sürücü. Özgür Yayınları eBooks, 2026. Cites: paper

Aligning language models with clinical expertise: Direct preference optimization for heart failure nursing documentation in critical care
Junyi Fan, Li Sun, Negin Ashrafi et al. Computer Methods and Programs in Biomedicine Update, 2026. Cites: paper

Development of Brain Computer Interface and Brain Death Determination Systems
Jingming Gong, キョウ, ケイメイ. Institutional Repositories DataBase (IRDB), 2026. Cites: paper

A comprehensive review of temporal reasoning with multimodal LLMs: Foundations, challenges, and healthcare applications
Marouene Chaieb, Nour Ben Ameur, Wadii Boulila. Computer Science Review, 2026. Cites: paper

CKD-EHR: Clinical Knowledge Distillation for Electronic Health Records
Junke Wang, Hongshun Ling, Li Zhang et al. Biomedical Signal Processing and Control, 2026. Cites: paper

Enhancing few-shot personalized cuffless blood pressure estimation with self-supervised learning
Liwen Tang, Wan-Hua Lin, Zheng Dingchang et al. Physiological Measurement, 2026. Cites: paper

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort
Francisco Manuel Ortuño, Víctor de la Oliva, Javier‐Ignacio Ramirez‐Lopez et al. Advanced Science, 2026. Cites: paper

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