Publications citing MIMIC-III Waveform Database v1.0

Ring-BP: Using a Wearable Smart Ring to Cufflessly Estimate Blood Pressure with Mobile and Efficient Net
Bin Liu, Hao Wu, Guoxing Wang et al. IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2025. Cites: paper

Towards robust drug recommendation based on dual perspective encoder and iterative denoising mechanism
Xiaobo Li, Fanjun Meng, Jiedong Wei et al. Expert Systems with Applications, 2025. Cites: paper

Federated Learning in Smart Healthcare: A Survey of Applications, Challenges, and Future Directions
Mohammad Nasajpour, Seyedamin Pouriyeh, Reza M. Parizi et al. Electronics, 2025. Cites: paper

Novel pulse pressure pattern monitoring in critical care of elderly sepsis patients
Wanjun Liu, Shijun Zhou, Manru Li et al. Intensive and Critical Care Nursing, 2025. Cites: paper

Ultralow‐Dimensionality Reduction for Identifying Critical Transitions by Spatial‐Temporal PCA
Pei Chen, Yaofang Suo, Kazuyuki Aihara et al. Advanced Science, 2025. Cites: paper

Advances in cardiovascular signal analysis with future directions: a review of machine learning and deep learning models for cardiovascular disease classification based on ECG, PCG, and PPG signals
Yunendah Nur Fuadah, Ki Moo Lim. Biomedical Engineering Letters, 2025. Cites: paper

Construction and validation of prognostic model for ICU mortality in cardiac arrest patients: an interpretable machine learning modeling approach
Yong Li, Ying Liu, Qing Zhang et al. European journal of medical research, 2025. Cites: paper

Transforming Healthcare Diagnostics With Tensorized Attention and Continual Learning on Multi-Modal Data
Saeed Iqbal, Xiaopin Zhong, Muhammad Attique Khan et al. IEEE Transactions on Consumer Electronics, 2025. Cites: paper

Using artificial intelligence to develop a measure of orthopaedic treatment success from clinical notes
Sarah Bauer Floyd, Ahmed G. Almeldien, Dane Hudson Smith et al. Frontiers in Digital Health, 2025. Cites: paper

Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships
Angie Boggust, Hyemin Bang, Hendrik Strobelt et al. CHI Conference on Human Factors in Computing Systems, 2025. Cites: paper

BigLSTM: Recurrent neural network for the treatment of anomalous temporal signals. Application in the prediction of endotracheal obstruction in COVID-19 patients in the intensive care unit
Pablo Fernández-López, Patricio García Báez, Ylermi Cabrera-León et al. Computers in Biology and Medicine, 2025. Cites: paper

Comparative benchmarking of the DeepSeek large language model on medical tasks and clinical reasoning
Mickaël Tordjman, Zelong Liu, Murat Yuce et al. Nature Medicine, 2025. Cites: paper

Advancing osteoarthritis research: the role of AI in clinical, imaging and omics fields
Jingfeng Ou, Jin Zhang, Momen Alswadeh et al. Bone Research, 2025. Cites: paper

An integrated machine learning and hyperparameter optimization framework for noninvasive creatinine estimation using photoplethysmography signals
Parama Sridevi, Kazi Zawad Arefin, Sheikh Iqbal Ahamed. Healthcare Analytics, 2025. Cites: paper

Cross-Dataset Analysis of Language Models for Generalised Multi-label Review Note Distribution in Animated Productions
Diego Garcés, Matilde Santos, David Fernández Llorca. International Journal of Computational Intelligence Systems, 2025. Cites: paper

Healing with hierarchy: Hierarchical attention empowered graph neural networks for predictive analysis in medical data
Shivani Gupta, Saurabh Sharma, Rajesh Kumar Sharma et al. Artificial Intelligence in Medicine, 2025. Cites: paper

Identification of Acute Respiratory Failure Phenotypes With Electronic Health Record Data
Charles R. Terry, Daniel L. Brinton, Katie Kirchoff et al. CHEST Critical Care, 2025. Cites: paper

Time-aware Medication Recommendation via Intervention of Dynamic Treatment Regimes
Yishuo Li, Qi Zhang, Wenpeng Lü et al. International World Wide Web Conference (WWW), 2025. Cites: paper

A heterogeneous data fusion mortality prediction model based on time-aware self-attention mechanism
Shuxu Chen, Decong Wang, Chao Che et al. International Journal of Machine Learning and Cybernetics, 2025. Cites: paper

A Comprehensive Review on Heart Disease Detection Using Machine Learning and Deep Learning Techniques
MAHARSHI S PATEL, VED A PATEL. 2025. Cites: paper

Hierarchical embedding attention for overall survival prediction in lung cancer from unstructured EHRs
Domenico Paolo, Carlo Greco, Alessio Cortellini et al. BMC Medical Informatics and Decision Making, 2025. Cites: paper

Integration of IoT and Machine Learning in Biomedical Signal Processing
Hina Bansal, Yash Nautiyal, Ayush Gujar. IGI Global eBooks, 2025. Cites: paper

Knowledge enhanced representation learning network for drug recommendation
Xiaobo Li, Xiaodi Hou, Fanjun Meng et al. Information Processing & Management, 2025. Cites: paper

Integrating differential privacy in deep reinforcement learning for sepsis treatment with pulmonary implications
Shuling Wang, Feng Yang, Suixue Wang et al. Frontiers in Medicine, 2025. Cites: paper

Inter-organ correlation based multi-task deep learning model for dynamically predicting functional deterioration in multiple organ systems of ICU patients
Zhixuan Zeng, Yang Liu, Shuo Yao et al. BioData Mining, 2025. Cites: paper

CRISP: A causal relationships-guided deep learning framework for advanced ICU mortality prediction
Linna Wang, Xinyu Guo, Haoyue Shi et al. BMC Medical Informatics and Decision Making, 2025. Cites: paper

Generative Reconstruction of Multimodal Cardiac Waveforms From a Single Vibrational Cardiography Sensor
James Skoric, Yannick D’Mello, David V. Plant. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

The relationship between admission Braden score and poor prognosis in Sepsis patients: evidence from the MIMIC-III database
Tingting Ding, Lei Zhao, Ben Hu et al. BMC Infectious Diseases, 2025. Cites: paper

Association between admission Braden Skin Score and delirium in surgical intensive care patients: an analysis of the MIMIC-IV database
Meiling Shang, Ailing Shang, Yu Xu. Frontiers in Neurology, 2025. Cites: paper

Fairness Analysis of Clip-Based Foundation Models for X-Ray Image Classification
Xiangyu Sun, Xiaoguang Zou, Yuefeng Wu et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2025. Cites: paper

A Robust PPG Signal Processing Pipeline for Biomarker Extraction and Analysis
Tianmin Kong, Ava Hedayatipour. IEEE Dallas Circuits and Systems Conference (DCAS), 2025. Cites: paper

Classification of intracranial pressure epochs using a novel machine learning framework
Rohan Mathur, Sudha Yellapantula, Lin Cheng et al. npj Digital Medicine, 2025. Cites: paper

EmoSyn: Adaptive Emotion Framework for Sentiment Analysis and Internet of Medical Things
Kamran Ahmad Awan, Abdullah M. Alqahtani, Korhan Cengiz et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

STAF-LLM: A scalable and task-adaptive fine-tuning framework for large language models in medical domain
Tianhan Xu, Ling Chen, Zhe Hu et al. Expert Systems with Applications, 2025. Cites: paper

Exploring the limitations of blood pressure estimation using the photoplethysmography signal
Felipe Meneguitti Dias, Diego Armando Cardona Cárdenas, Marcelo Arruda Fiuza de Toledo et al. Physiological Measurement, 2025. Cites: paper

A Brief Review on Benchmarking for Large Language Models Evaluation in Healthcare
Leona Cilar, Hongyu Chen, Aokun Chen et al. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, 2025. Cites: paper

Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney Injury: Development and Validation Study
Wei Jiang, Yaosheng Zhang, Jiayi Weng et al. Journal of Medical Internet Research, 2025. Cites: paper

From Silos to Synthesis: A comprehensive review of domain adaptation strategies for multi-source data integration in healthcare
Shelia Rahman Tuly, Sima Ranjbari, Ekrem Alper Murat et al. Computers in Biology and Medicine, 2025. Cites: paper

PhysCL: Knowledge-Aware Contrastive Learning of Physiological Signal Models for Cuff-Less Blood Pressure Estimation
Renju Liu, Jianfei Shen, Yang Gu et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Sex differences in outcomes in patients with acute myocardial infarction
Dabei Cai, Li Deng, Ye Deng et al. BMC Cardiovascular Disorders, 2025. Cites: paper

The Potential of Biomedical Text Analysis in Healthcare
Sakshi Dubey. International Journal for Research in Applied Science and Engineering Technology, 2025. Cites: paper

Towards accurate differential diagnosis with large language models
Daniel McDuff, Mike Schaekermann, Tao Tu et al. Nature, 2025. Cites: paper

Towards conversational diagnostic artificial intelligence
Tao Tu, Mike Schaekermann, Anil K. Palepu et al. Nature, 2025. Cites: paper

Advances in meta-learning and zero-shot learning for multi-label classification: A review
Luis-Carlos Quiñonez-Baca, Graciela María de Jesús Ramírez-Alonso, Abimael Guzmán Pando et al. Digital Signal Processing, 2025. Cites: paper

Reinforcement learning using neural networks in estimating an optimal dynamic treatment regime in patients with sepsis
Weijie Liang, Jinzhu Jia. Computer Methods and Programs in Biomedicine, 2025. Cites: paper

Application of large language models in medicine
Fenglin Liu, Hongjian Zhou, Boyang Gu et al. Nature Reviews Bioengineering, 2025. Cites: paper

Navigating challenges/opportunities in developing smart agricultural extension platforms: Multi-media data mining techniques
Josué Kpodo, Amir Pouyan Nejadhashemi. Artificial Intelligence in Agriculture, 2025. Cites: paper

Opportunities for Improvement in Caring for Critically Ill Patients Who Are Incapacitated With No Evident Advance Directives or Surrogates
Morgan Kinsinger, Jiyoun Song, Maxim Topaz et al. Journal of Hospice and Palliative Nursing, 2025. Cites: paper

Fairness without Demographics through Learning Graph of Gradients
Yingtao Luo, Zhixun Li, Qiang Liu et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025. Cites: paper

SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction
Changchang Yin, Shihan Fu, Bingsheng Yao et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025. Cites: paper

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