Cited by
MIMIC-III Clinical Database Demo (v1.4)
7975 publications cite any version of this project or its primary paper, newest first.
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The evolving landscape of few shot learning in medical image diagnosis a scoping review
Gauhar Ali, Sajid Shah, Mohammed AElAffendi et al. Discover Applied Sciences, 2026. Cites: paper -
Universal Adaptive Multi-Agent Coordination (AMAC): A Domain-Agnostic Deep Learning Framework for Autonomous Detection and Response Across Industry Sectors
Lalith Chandra Bandaru -. International Journal of Technology and Applied Science, 2026. Cites: paper -
HyDaST: Mortality risk prediction via EHR-hypergraph and dual-scale temporal pattern extraction
Wenxiang Li, K L Eddie Law. Information Sciences, 2026. Cites: paper -
Assessment of the integrity of real-time electronic health record data used in clinical research
Jessica Liu, Sameer Pandya, Andreas C. Coppi et al. PLoS ONE, 2026. Cites: paper -
Extracting structured data from unstructured breast imaging reports with transformer-based models
Mikel Carrilero-Mardones, Jorge Pérez‐Martín, Francisco Javier Díez et al. Frontiers in Digital Health, 2026. Cites: paper -
Neural Bandit Based Optimal LLM Selection for Pipeline of Tasks
Baran Atalar. ACM SIGMETRICS Performance Evaluation Review, 2026. Cites: paper -
A survey on group fairness in federated learning: challenges, taxonomy of solutions and directions for future research
Teresa Salazar, Helder Jesus Araújo, Alberto Cano et al. Artificial Intelligence Review, 2026. Cites: paper -
Reduction of motion artifacts from photoplethysmography signals using learned convolutional sparse coding
Giulio Basso, Xi Long, Reinder Haakma et al. Physiological Measurement, 2026. Cites: paper -
Generative conditional missing imputation networks
George Sun, Yi‐Hui Zhou. International Journal of Data Science and Analytics, 2026. Cites: paper -
Minimal Gain in Prognostic Certainty for Patients With Hematologic Malignancies Over 2 Weeks of Intensive Care: An Analysis to Inform Time-Limited Trials
Martijn Otten, Brittney A van der Woude, Bob J.H. van Kempen et al. Critical Care Medicine, 2026. Cites: paper -
Prediction of Chronic Obstructive Pulmonary Disease Using Machine Learning, Clinical Summary Notes, and Vital Signs: A Single-Center Retrospective Cohort Study in the United States
Sabrina Meng, Hersh Sagreiya, Negar Orangi-Fard. Advances in respiratory medicine, 2026. Cites: paper -
Transforming Healthcare Through Data Analytics: Toward a Safer, Smarter, and More Secure Health System
Sajidul Islam Khan, Marzia Rahman, Emran Hossain et al. International Conference on Mobile Computing and Sustainable Informatics (ICMCSI), 2026. Cites: paper -
A deep learning-based early warning system for renal replacement therapy in the intensive care unit
Behrooz Mamandipoor, Julian McAuley, Martin Krause et al. Research Square, 2026. Cites: paper -
Artefacts in continuous neuromonitoring
Xuhang Chen, Stefan Yu Bögli, Ihsane Olakorede et al. Nature Reviews Bioengineering, 2026. Cites: paper -
Holistic AI in medicine; improved performance and explainability
Periklis Petridis, Georgios Margaritis, Vasiliki Stoumpou et al. npj Digital Medicine, 2026. Cites: paper -
Large Language Models’ Performances regarding logical observation identifiers names and codes mapping in laboratory medicine: A comparative analysis of ChatGPT-4.0, Gemini, and Perplexity
Shinae Yu, Eun‐Jung Cho, Sollip Kim et al. International Journal of Medical Informatics, 2026. Cites: paper -
SmartWear: real-time Edge AI for personalized health monitoring in chronic disease management
Soha Rawas, Agariadne Dwinggo Samala, Santiago Criollo-C. Informatics for Health and Social Care, 2026. Cites: paper -
Integrating Bayesian Inference and Machine Learning to Evaluate TAP and Trypsin-2 as Early Biomarkers of Systemic Inflammation in Acute Pancreatitis
Alina Calin Frij, Cristian Velicescu, Andrei Andone et al. Medicina, 2026. Cites: paper -
Bridging data gaps of rare conditions in ICU: a multi-disease adaptation approach for clinical prediction
Mingcheng Zhu, Yu Liu, Zhiyao Luo et al. npj Digital Medicine, 2026. Cites: paper -
Development and validation of a machine learning-based prediction model for thrombocytopenia following cardiopulmonary bypass
Shan Guo, Xuping Cheng, Xuandong Jiang et al. Scientific Reports, 2026. Cites: paper -
Data-Driven Knowledge Transfer in Batch Q * Learning
Elynn Chen, Xi Chen, Wenbo Jing. Journal of the American Statistical Association, 2026. Cites: paper -
A Comprehensive Analysis of Advancements in Medical Decision Support Systems
Saumya Mehra, Bhawna Jain, Drishti Rani et al. Lecture notes in networks and systems, 2026. Cites: paper -
A Configuration-Level Comparative Evaluation of Workflow Bundles for Source-Grounded Academic PDF Analysis
Ayush Yajnik, Sriharsha Anand Pushkala. IEEE Access, 2026. Cites: paper -
A Continuous-Time On-Device Federated Learning Network
Yimin Dai, Rui Tan. IEEE Transactions on Networking, 2026. Cites: paper -
Adaptive Lipschitz Constant Learning for PPG Signal Denoising: A Data-Driven Regularization Approach
Shang-Wei Chao, Feng‐Li Lian. IEEE Transactions on Instrumentation and Measurement, 2026. Cites: paper -
Adaptive, Multi-Objective Dingo Optimization for Real-Time Dimensionality Reduction and Critical Feature Selection in WBAN-Based Health Monitoring Systems
Fatimah Alghamdi, Fuad Bajaber. IEEE Access, 2026. Cites: paper -
A Domain-Specific Framework for Priority-Based Modeling and Optimization of Non-Functional Requirements Beyond Binary Constraints
Anirban Bhar, Sankhayan Choudhury, Sabnam Sengupta et al. IEEE Access, 2026. Cites: paper -
Advanced Topics for Adopting Cloud and AI for Life Sciences Research
Zhong Wang, Adrish Sannyasi, Jonathan Jiang. Springer eBooks, 2026. Cites: paper -
Advancements in Transformers for Medication Prescription: A Comprehensive Literature Review
Syed Usama Hussain Shah Bukhari, Manan Vinod Shah, Md Jobayer Hossain Chowdhury et al. Lecture notes in networks and systems, 2026. Cites: paper -
A Feasibility Study of Treatment-Anchored Silver Labeling for Phenotyping Using VitalDB and Interpretable Machine Learning
Woo Jin Jung, Ah Reum Kang. IEEE Access, 2026. Cites: paper -
A Hybrid Multimodal Graph Framework for Medical Link Prediction and Decision Support
Takoua Ben Smida, Riadh Bouslimi, Hadhémi Achour. Procedia Computer Science, 2026. Cites: paper -
AI-Based Real Time Health Monitoring System for Comprehensive Vital Sign Assessment Using PPG Signals
Manan Joshi, Prabal Kumar Shukla, Yogesh R. Sindagi et al. IEEE Access, 2026. Cites: paper -
AI-Driven IoT Wearable Devices for Remote Patient Monitoring
Gul E Arzu, Muhammad Fayaz, Asma Khan et al. Lecture notes on data engineering and communications technologies, 2026. Cites: paper -
AI-Driven Predictive Models for Cardiovascular Risk Assessment
Balan Santhosh Kumar, Udhayamoorthi Marannan, Hameetha Begum et al. Lecture notes in networks and systems, 2026. Cites: paper -
AI for multilingual, human-centered personalization, and public health
Anand Kumar Mishra, Chetan R. Dudhagara, Mayur Rahul et al. Elsevier eBooks, 2026. Cites: paper -
AI-Powered Medical Report Analyzer and Organ Visualization
A. J. Aswani, S. Krishna Prabha, P. S. Sanvia Saj et al. Lecture notes in networks and systems, 2026. Cites: paper -
A Multi-Agent LLM Platform for Integrated Healthcare Services with Multi-Modal Data Analysis
Nikhil Mishra, Nived R, Nishanth M et al. Procedia Computer Science, 2026. Cites: paper -
A Multi-level and Multimodal Data Fusion Algorithm Using Neural Networks
Arlene John, Barry Cardiff, Deepu John. Springer eBooks, 2026. Cites: paper -
A Multi-level Pruning Method for Medical Redundant Data Based on Data Lake
Tianyi Liu, Jiaxu Guo, Chao Xia et al. Lecture notes in computer science, 2026. Cites: paper -
A Multimodal Deep Learning Framework for Early Detection, Mood State Classification, and Episode Prediction in Bipolar Disorder
Rocco de Filippis, Abdullah Al Foysal. OALib, 2026. Cites: paper -
A Multimodal, Stochastic, and Clinically-Optimized Approach to Predicting In-Hospital Mortality for Asthma Patients
Paritosh Dwivedi, Swathi Jamjala Narayanan. Lecture notes in networks and systems, 2026. Cites: paper -
A Multi-sensor and Multimodal Data Fusion Technique for Heartbeat Detection
Arlene John, Barry Cardiff, Deepu John. Springer eBooks, 2026. Cites: paper -
An Advanced Conversational AI System for Medical Specialty Triage Featuring a RAG-Based Dialogue Engine
Anas Chahid, Ismail Chahid, Mohamed Emharraf et al. Lecture notes in networks and systems, 2026. Cites: paper -
An Experimental Evaluation of GRU-Based Architecture for ICD-9 Code Assignment Using MIMIC-III Clinical Notes
Manale Chakir, Abdelwahab Naji. Lecture notes in networks and systems, 2026. Cites: paper -
An Interactive Dashboard for Exploring Patient-Reported Drug-Condition Relations
Vanni Zavarella, Lorenzo Bertolini, Sergio Consoli et al. Lecture notes in computer science, 2026. Cites: paper -
An Iterative Code Generation and Optimization Framework Based on Dynamic Few-Shot Learning for Medical Information Processing
Zhihu Su, Jie Wang, Fuliang Quan et al. Communications in computer and information science, 2026. Cites: paper -
A Review of Contrastive Learning for Stress and Anxiety Detection Using EDA and BVP Signals
Ayushi Dey, Divyashikha Sethia. Lecture notes in networks and systems, 2026. Cites: paper -
A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data
Chenxi Sun, Moxian Song, Derun Cai et al. Health Data Science, 2026. Cites: paper -
A roadmap for medical large language models: a review of foundations, applications, and challenges
Yu-Yang Sha, Li Yu, Ze-Hui Lin et al. Military Medical Research, 2026. Cites: paper -
A robust generalized deep monotonic feature extraction model for label-free prediction of degenerative phenomena
Panagiotis Komninos, Thanos Kontogiannis, Nick Eleftheroglou et al. Data-Centric Engineering, 2026. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.