Publications citing MIMIC-III Clinical Database Demo v1.4

From National Data to Local Evaluation: Benchmarking Machine Learning Models for Perioperative Risk Prediction
Zihan Ding, Grace Han, Tengfei Ma et al. medRxiv, 2026. Cites: paper

Salud Digital ICU Mortality Transfer Reproducibility Package
Jorge Robalino-Díaz. Zenodo (CERN European Organization for Nuclear Research), 2026. Cites: dataset

Towards Interpretable Risk: Multidimensional Context for ICU Mortality Predictions
Shraddha Gupta, Akanta Das, Mrinmoy Sarkar Anto et al. medRxiv, 2026. Cites: paper

Enhancing Model Explainability and Performance via Attention-Guided Gradient Restriction
Hai-Chan Nguyen, Hung Lê, Thin Nguyen. Lecture notes in computer science, 2026. Cites: paper

Machine Learning Approaches for Healthcare Prediction and Diagnosis
G Muthupandi, Nandhakumar R, Karuppiah S et al. 2026. Cites: paper

Automated Injury Diagnosis Coding Using LLMs: Performance and Privacy Trade-offs
Rishab Ranjan Chakravarty, Mustak Ahmad, Gaurav Nanda. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2026. Cites: paper

Clustering Psychiatric Disorders from EHR Texts Using BERT-Based Representation Learning
Ankit Kumar Bhasker, Abhishek Singh, Girish Chandra et al. Lecture notes in networks and systems, 2026. Cites: paper

Differentially Private Synthetic Health Data
Joseph Pedersen, Kristin P. Bennett. Communications in computer and information science, 2026. Cites: paper

A Trust-Aware Multi-Modal Explainable and Causal AI Framework for Cardiac Risk Prediction
Poorna Vishnu Payyavula. 2026. Cites: paper

From biobanks to real-world evidence: architectural evolution of large-scale health databases and implications for future development
Yue Cai, Yiyang Liu, Ting Xu et al. Chinese Science Bulletin (Chinese Version), 2026. Cites: paper

Large Language Model Benchmarks in Medical Tasks
Lawrence K.Q. Yan, Qian Niu, Ming Li et al. Medicine Advances, 2026. Cites: paper

Multimodal ECG Reconstruction: A Comparative Study of ECG-PPG Fusion and Single-Modality Representations
Pedro Rangel, Sanaz Rahimi Moosavi, Alex Jeter et al. IEEE International Conference on Omni-layer Intelligent Systems (COINS), 2026. Cites: paper

PhysioCalib-Net: Adaptive Multimodal Deep Learning for Cuffless Blood Pressure Estimation and Hypertension Classification
Gargi Shandilya Avadhanam. International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2026. Cites: paper

Protocol for the National Data Stream-IICU: a multicenter Swiss platform integrating multimodal clinical and pathogen data for personalized prediction of infection-related outcomes in intensive care
Catherine Ruth Jutzeler, Karsten Michael Borgwardt, Nora C. Toussaint et al. CMI Communications, 2026. Cites: paper

Suboptimal Echocardiographic Image Quality Predicts in‐Hospital Mortality Across the Adult Age Spectrum, Independent of Admission Type: A Large‐Scale NLP Study
Murat Pehlivan, Yusuf Ziya Şener, Aybüke Uyar et al. Echocardiography, 2026. Cites: paper

Utilizing BERTopic modeling for concept discovery in the domain of gerotranscendence and solitude
B. Damayanthi Jesudas, Finn Wilson, Rachel A. Mavrovich et al. Journal of Biomedical Semantics, 2026. Cites: paper

Your Agent’s Memories Are Not Its Own: Forged Reasoning Attack on LLM Agent Memory and Its Defense
Neeraj Karamchandani, Piyush Nagasubramaniam, Sencun Zhu et al. IEEE Conference on Communications and Network Security, 2026. Cites: paper

Inteligência Artificial na decisão de admissão em UTI: interface com cuidados paliativos e educação médica
Alberto Hil Furtado Júnior, Edgar Marçal de Barros Filho, Melissa Soares Medeiros. Cuadernos de Educación y Desarrollo, 2026. Cites: paper

Prognostic Language and Subsequent Code-Status Limitation After Acute Brain Injury: A Multidatabase Observational Study
Alon Gorenshtein, Yosef Adiniaev, Amir Srour et al. medRxiv, 2026. Cites: paper

Deep belief enabled coupled high-order hidden state transition degradation model
Vipul Bansal, Shiyu Zhou. Reliability Engineering & System Safety, 2026. Cites: paper

Hierarchical LLM-Assisted Clinical Coding in ICD-10-CM: A Hybrid Prompting and Embedding Approach
Nuno Costa, Constantino Lopes Martins, Alberto Freitas. Lecture notes in networks and systems, 2026. Cites: paper

Hybrid Differentially Private Conditional Diffusion for Synthetic EHR Generation in Medical IoT Environments
Yamuna Mundru, Manas Kumar Yogi. Journal of Smart Algorithms and Applications (JSAA), 2026. Cites: paper

Modeling the post-extrasystolic potentiation to determine heart failure
Roel J. H. Montree, Elisabetta Peri, Lukas Dekker et al. Frontiers in Signal Processing, 2026. Cites: paper

PPG-FusionNet: A Dual-Branch Neural Architecture for Cuffless Blood Pressure Estimation from Photoplethysmography
Eduardo Martínez Duque, Genaro Daza Santacoloma, David Augusto Cardenas Peña. Computers, 2026. Cites: paper

Structural Embeddedness and Health System Resilience: How Network Position Shapes Safe Clinical Adaptation Under Crisis
Yiwei Liu, Taiyu Yan, Muzi Zhou et al. Research Square, 2026. Cites: paper

Enhancing rare class prediction in medical data via clinical validity augmentation
Hai-Chan Nguyen, Phuong-Thuy Le-Nguyen, Bac Hoai Le. Engineering Applications of Artificial Intelligence, 2026. Cites: paper

From free association to free parameters: machine-learning empowers artificial intelligence models to rate the affective-relational aspects of narratives like an expert psychologist
Caleb J. Siefert, Barry Dauphin, Jenelle M. Slavin‐Mulford et al. Frontiers in Digital Health, 2026. Cites: paper

Intelligent Medication Recommendation via Dynamic Prescription Modeling and Molecular Substructure Learning
Yabin Kuang, Minzhu Xie, Jiancheng Zhong. Interdisciplinary Sciences Computational Life Sciences, 2026. Cites: paper

Leveraging ECG foundation models in critical care for sinus rhythm and atrial fibrillation classification
Maria Galanty, Michiel Hulleman, Merijn Constantijn Reuland et al. Intensive Care Medicine Experimental, 2026. Cites: paper

Machine Learning on the Pediatric Intensive Care (PIC) Database: PIC-Powered Prediction
Hammad A. Ganatra, Daniah Shamim, Shawn Sood et al. Bioengineering, 2026. Cites: paper

HeteroMetaNet: A multimodal meta-learning framework for ischemic stroke prediction from heterogeneous clinical and radiological data
Raghda E. Ali, Reda A. El-Khoribi, Ehab Ezzat Hassanein et al. Biomedical Signal Processing and Control, 2026. Cites: paper

Multimodal graph neural networks for integrating heterogeneous medical data in clinical decision making
K. Adi Narayana Reddy, L. Lakshmi, G. Shyam Chandra Prasad et al. Discover Computing, 2026. Cites: paper

Multivariate regression model and clinical scoring systems for predicting mortality at ICU admission in patients with ischemic stroke
Petr A. Polyakov, Берикашвили Леван Бондоевич, Mikhail Ya. Yadgarov et al. Russian Journal of Anesthesiology and Reanimatology, 2026. Cites: paper

Artificial Intelligence for Early Heart Disease Prediction: A Review of Machine Learning Techniques
Hanna Rasheed, Arya.K.R Arya.K.R, Ashida.K.A Ashida.K.A. International Journal of Technology & Emerging Research, 2026. Cites: paper

Vision-Language Models for medical imaging: A survey on anomaly detection and multimodal applications
Gul E Arzu, Muhammad Umar, Muhammad Fayaz et al. Knowledge-Based Systems, 2026. Cites: paper

Dataset-structured evidence synthesis for machine-learning prediction models: a methodological framework and worked example
Osama Abdelhay, Da’ad Abdel-Hay, Abdullah F. Qasem et al. Research Square, 2026. Cites: paper

Implementation Variability Makes Sepsis-3 an Inconsistent Measuring Model for Early AI Prediction on Clinical Data
Jan Mackensen. Research Square, 2026. Cites: paper

Multi-view consistency for trustworthy offline reinforcement learning
Hongyi Li, Lianke Zhou, Shuai Qin et al. Expert Systems with Applications, 2026. Cites: paper

A perspective on foundation models in intensive care medicine
Carl Harris, Samuel Schmidgall, Sampath Rapuri et al. Artificial Intelligence in Medicine, 2026. Cites: paper

InstructDS: An Instruction-Tuned language model with smoothed contrastive confidence decoding for generating patient discharge instructions
Muneerah Q. Alqahtani, Manal Abumelha. Journal of King Saud University - Computer and Information Sciences, 2026. Cites: paper

Les systèmes d’aide à la décision clinique à base d’intelligence artificielle : du développement à l’implantation
Philippe A. Jouvet, Kévin Albert, Arnaud Wiedemann et al. Bulletin de l Académie Nationale de Médecine, 2026. Cites: paper

A Deep Learning–Based Multi-Source Sensor Data Fusion Model for Real-Time Disaster Prediction and Healthcare Risk Assessment
S. Sindhu, S. Srividhya, V. Rajaram et al. International Journal of Online and Biomedical Engineering (iJOE), 2026. Cites: paper

A Hybrid Multimodal AI Framework for BI-RADS Breast Cancer Risk Prediction and Report Generation: Radiologist-Mimetic Cognitive Knowledge Graph Injection and Cognitive Prompt Engineering
Ashok Kumar Saho, Rajkumar Rajavel. International Journal of Computer Information Systems and Industrial Management Applications, 2026. Cites: paper

A Scoping Review of Interpretable AI Model Approaches in Echocardiography: Frameworks, Model Types, Explanation Strategies, and Evaluation Practices
Ryoma Ishii, Roger A. Edwards, Patrick E. Gelbach et al. Journal of Imaging Informatics in Medicine, 2026. Cites: paper

Validity and Reliability of ICD Symptom Coding and Its Implications for Symptom Assessment and Research Using Electronic Health Records
Tru Hoang Cao, Meagan Whisenant, Hongmei Wang et al. CIN Computers Informatics Nursing, 2026. Cites: paper

Artificial intelligence framework for real-time integration of electronic health records and clinical notes for early prediction and management of sepsis in intensive care units
R. Kanthavel, Ramakrishnan Dhaya, A. Jayanthiladevi et al. Discover Artificial Intelligence, 2026. Cites: paper

Machine learning and AI for cancer research and care: a review of applications, limitations, and future directions
Kanishk Yadav, Taneesha Gupta. Journal of the Egyptian National Cancer Institute, 2026. Cites: paper

A consent-based medical data sharing and edge offloading scheme based on blockchain and deep reinforcement learning
Narendra Kumar Chintalacheruvu, Dinesh Kumar, Amit Prakash et al. Discover Computing, 2026. Cites: paper

An Eight-Phase Pipeline for Clinical Risk Prediction Using PCA, K-Means, and KNN on MIMIC-III
Michael Israel Lata Zambrano, Jordy Jasmany Romero Armijos, Remigio Hurtado. Lecture notes in networks and systems, 2026. Cites: paper

Neuro-symbolic information fusion for explainable retrieval-augmented generation in mental health applications: A survey and challenges
Xin Kang, Weiping Ding, Kazuyuki Matsumoto et al. Information Fusion, 2026. Cites: paper

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