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Automated Triage of Screening Breast MRI Examinations in High-Risk Women Using an Ensemble Deep Learning Model.
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Development and validation of a deep transfer learning-based multivariable survival model to predict overall survival in lung cancer.
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Development and validation of a deep learning survival model for cervical adenocarcinoma patients.
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Temporal Machine Learning Analysis of Prior Mammograms for Breast Cancer Risk Prediction.
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A deep learning nomogram of continuous glucose monitoring data for the risk prediction of diabetic retinopathy in type 2 diabetes.
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A machine learning-based diagnosis modelling of type 2 diabetes mellitus with environmental metal exposure.
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Using Machine Learning Algorithms to Predict Patient Portal Use Among Emergency Department Patients With Diabetes Mellitus.
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Annotation of Trauma-related Linguistic Features in Psychiatric Electronic Health Records for Machine Learning Applications.
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Use of artificial intelligence techniques for detection of mild cognitive impairment: A systematic scoping review.
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Ambient Monitoring of Gait and Machine Learning Models for Dynamic and Short-Term Falls Risk Assessment in People With Dementia.
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Development of machine-learning algorithms for 90-day and one-year mortality prediction in the elderly with femoral neck fractures based on the HEALTH and FAITH trials.
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Machine Learning as a Support for the Diagnosis of Type 2 Diabetes.
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Equity should be fundamental to the emergence of innovation.
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Learning From Experience and Finding the Right Balance in the Governance of Artificial Intelligence and Digital Health Technologies.
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Prediction prolonged mechanical ventilation in trauma patients of the intensive care unit according to initial medical factors: a machine learning approach.
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From benchmark to bedside: transfer learning from social media to patient-provider text messages for suicide risk prediction.
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Commentary: Patient Perspectives on Artificial Intelligence; What have We Learned and How Should We Move Forward?
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A machine learning approach to identifying suicide risk among text-based crisis counseling encounters.
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Interpretable Estimation of Suicide Risk and Severity from Complete Blood Count Parameters with Explainable Artificial Intelligence Methods.
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Early prediction of delirium upon intensive care unit admission: Model development, validation, and deployment.
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Health Monitoring Using Smart Home Technologies: Scoping Review.
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Analysis of Publication Activity and Research Trends in the Field of AI Medical Applications: Network Approach.
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Smartphone Apps for Domestic Violence Prevention: A Systematic Review.
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Prediction of new onset postoperative atrial fibrillation using a simple Nomogram.
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Explainable Artificial Intelligence and Cardiac Imaging: Toward More Interpretable Models.
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Prediction of blood pressure variability during thrombectomy using supervised machine learning and outcomes of patients with ischemic stroke from large vessel occlusion.
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Refining Echocardiographic Surveillance of Aortic Stenosis Using Machine Learning: Toward Personalized and Sustainable Follow-Up Schemes.
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Modelling 30-day hospital readmission after discharge for COPD patients based on electronic health records.
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Machine learning-based analysis of risk factors for atrial fibrillation recurrence after Cox-Maze IV procedure in patients with atrial fibrillation and chronic valvular disease: A retrospective cohort study with a control group.
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Evaluation of a deep Learning-enabled automated computational heart modeling workflow for personalized assessment of ventricular arrhythmias.
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Identification of High-Risk Patients for Postoperative Myocardial Injury After CME Using Machine Learning: A 10-Year Multicenter Retrospective Study.
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Quantization of extraoral free flap monitoring for venous congestion with deep learning integrated iOS applications on smartphones -- a diagnostic study.
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A machine learning model for visualization and dynamic clinical prediction of stroke recurrence in acute ischemic stroke patients: A real-world retrospective study.
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A Hybrid Stacked CNN and Residual Feedback GMDH-LSTM Deep Learning Model for Stroke Prediction Applied on Mobile AI Smart Hospital Platform.
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Predicting Cardiac Arrest in Children with Heart Disease: A Novel Machine Learning Algorithm.
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Defining the Age of Young Ischemic Stroke Using Data-Driven Approaches.
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Predicting the HIV/AIDS Knowledge among the Adolescent and Young Adult Population in Peru: Application of Quasi-Binomial Logistic Regression and Machine Learning Algorithms.
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