Artificial Intelligence to Improve Health Outcomes in the NICU and PICU: A Systematic Review.
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Asymmetric Three-dimensional Convolutions For Preterm Infants' Pose Estimation.
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Cancer Risk Estimation Combining Lung Screening CT with Clinical Data Elements.
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The ReIMAGINE Multimodal Warehouse: Using Artificial Intelligence for Accurate Risk Stratification of Prostate Cancer.
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Machine Learning-Based Radiomics Nomogram With Dynamic Contrast-Enhanced MRI of the Osteosarcoma for Evaluation of Efficacy of Neoadjuvant Chemotherapy.
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Artificial Intelligence Algorithm-Based Analysis of Ultrasonic Imaging Features for Diagnosis of Pregnancy Complicated with Brain Tumor.
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Deep Learning Assisted Diagnosis of Musculoskeletal Tumors Based on Contrast-Enhanced Magnetic Resonance Imaging.
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Prediction of Early Treatment Response to Initial Conventional Transarterial Chemoembolization Therapy for Hepatocellular Carcinoma by Machine-Learning Model Based on Computed Tomography.
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Analyzing the impact of Machine learning and Artificial intelligence and its Effect on Management of lung cancer detection in covid-19 pandemic.
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Interpretability methods of machine learning algorithms with applications in breast cancer diagnosis.
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Assessment of a Diagnostic Classification System for Management of Lesions to Exclude Melanoma.
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AI and High-Grade Glioma for Diagnosis and Outcome Prediction: Do All Machine Learning Models Perform Equally Well?
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Skin Electrical Resistance as a Diagnostic and Therapeutic Biomarker of Breast Cancer Measuring Lymphatic Regions.
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Randomized trial of two artificial intelligence coaching interventions to increase physical activity in cancer survivors.
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Deep Learning Predicts the Malignant-Transformation-Free Survival of Oral Potentially Malignant Disorders.
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An Automatic Detection and Localization of Mammographic Microcalcifications ROI with Multi-Scale Features Using the Radiomics Analysis Approach.
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Deep Convolution Neural Network for Laryngeal Cancer Classification on Contact Endoscopy-Narrow Band Imaging.
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End-to-End Neural Network for Feature Extraction and Cancer Diagnosis of In Vivo Fluorescence Lifetime Images of Oral Lesions.
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Accurate Automatic Glioma Segmentation in Brain MRI images Based on CapsNet.
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Virtual biopsy in prostate cancer: can machine learning distinguish low and high aggressive tumors on MRI?
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Lesion Border Detection of Skin Cancer Images Using Deep Fully Convolutional Neural Network with Customized Weights.
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Prediction Models of Treatment Response in Lupus Nephritis.
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Predictive value of ATN biomarker profiles in estimating disease progression in Alzheimer's disease dementia.
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Use and performance of machine learning models for type 2 diabetes prediction in clinical and community care settings: Protocol for a systematic review and meta-analysis of predictive modeling studies.
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An IoMT-Enabled Smart Healthcare Model to Monitor Elderly People Using Machine Learning Technique.
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Artificial Intelligence: An Interprofessional Perspective on Implications for Geriatric Mental Health Research and Care.
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Diabetic Macular Edema Screened by Handheld Smartphone-based Retinal Camera and Artificial Intelligence.
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Neurotechnology and AI Approach for Early Dementia Onset Biomarker from EEG in Emotional Stimulus Evaluation Task.
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Older Adult Mild Cognitive Impairment Prediction from Multiscale Entropy EEG Patterns in Reminiscent Interior Image Working Memory Paradigm.
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Investigation of Machine Learning and Deep Learning Approaches for Detection of Mild Traumatic Brain Injury from Human Sleep Electroencephalogram.
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A class-contrastive human-interpretable machine learning approach to predict mortality in severe mental illness.
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Identifying and evaluating clinical subtypes of Alzheimer's disease in care electronic health records using unsupervised machine learning.
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Automated and accurate assessment for postural abnormalities in patients with Parkinson's disease based on Kinect and machine learning.
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Tracking Lower Urinary Tract Symptoms and Tamsulosin Side Effects Among Older Men Using a Mobile App (PERSONAL): Feasibility and Usability Study.
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Phenotypic Characterization of Chronic Kidney Patients Through Hierarchical Clustering.
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Using Verb Fluency, Natural Language Processing, and Machine Learning to Detect Alzheimer's Disease.
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Evaluation of Recurrent Neural Network Models for Parkinson's Disease Classification Using Drawing Data.
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Machine learning approaches to improve disease management of patients with rheumatoid arthritis: review and future directions.
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Development of a Longitudinal Diagnosis and Prognosis in Patients with Chronic Kidney Disease: Intelligent Clinical Decision-Making Scheme.
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Comparison of Machine Learning Techniques for Mortality Prediction in a Prospective Cohort of Older Adults.
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The Association between Obesity and Chronic Conditions: Results from a Large Electronic Health Records System in Saudi Arabia.
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Development and Validation of a Machine Learning Model Predicting Arteriovenous Fistula Failure in a Large Network of Dialysis Clinics.
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Assessing the Views of Professionals, Patients, and Care Partners Concerning the Use of Computer Tools in Memory Clinics: International Survey Study.
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Alzheimer's Disease Classification Using 2D Convolutional Neural Networks.
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Artificial Intelligence in Medicine: A Sword of Damocles?
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Is Homomorphic Encryption-Based Deep Learning Secure Enough?
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Risks and Opportunities to Ensure Equity in the Application of Big Data Research in Public Health.
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Digital Interventions to Reduce Distress Among Health Care Providers at the Frontline: Protocol for a Feasibility Trial.
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Analyzing Patient Trajectories With Artificial Intelligence.
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RSNA-MICCAI Panel Discussion: 2. Leveraging the Full Potential of AI-Radiologists and Data Scientists Working Together.
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Imaging AI in Practice: A Demonstration of Future Workflow Using Integration Standards.
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A Radiology-focused Review of Predictive Uncertainty for AI Interpretability in Computer-assisted Segmentation.
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Integrating Al Algorithms into the Clinical Workflow.
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Development of a Machine-Learning-Based Classifier for the Identification of Head and Body Impacts in Elite Level Australian Rules Football Players.
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Construction and Evaluation of Intelligent Medical Diagnosis Model Based on Integrated Deep Neural Network.
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A Blockchain-Based Federated Learning Method for Smart Healthcare.
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Improving the data access control using blockchain for healthcare domain.
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Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations.
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A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study.
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Deep Learning Approaches and Applications in Toxicologic Histopathology: Current Status and Future Perspectives.
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Predicting short-term suicidal thoughts in adolescents using machine learning: developing decision tools to identify daily level risk after hospitalization.
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Surgical data science - from concepts toward clinical translation.
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A Machine Learning Approach for Prediction of Sedentary Behavior Based on Daily Step Counts.
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Transparency of deep neural networks for medical image analysis: A review of interpretability methods.
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Differential Biases and Variabilities of Deep Learning-Based Artificial Intelligence and Human Experts in Clinical Diagnosis: Retrospective Cohort and Survey Study.
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Using Artificial Neural Network Condensation to Facilitate Adaptation of Machine Learning in Medical Settings by Reducing Computational Burden: Model Design and Evaluation Study.
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Use of Big Data in Disaster Recovery: An Integrative Literature Review.
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A Machine Learning Approach to Identify Predictors of Frequent Vaping and Vulnerable Californian Youth Subgroups.
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Exploring stakeholder attitudes towards AI in clinical practice.
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Identification of Risk Factors for Suicidal Ideation and Attempt Based on Machine Learning Algorithms: A Longitudinal Survey in Korea (2007-2019).
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hGLUTEN Tool: Measuring Its Social Impact Indicators.
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CARL: a running recognition algorithm for free-living accelerometer data.
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Objective evaluation of the risk of falls in individuals with traumatic brain injury: feasibility and preliminary validation.
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Classification of Epileptic Seizure From EEG Signal Based on Hilbert Vibration Decomposition and Deep Learning.
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Machine learning of treadmill exercise test to improve selection for testing for coronary artery disease.
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Smartphones and Video Cameras: Future Methods for Blood Pressure Measurement.
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Prediction of Masked Hypertension and Masked Uncontrolled Hypertension Using Machine Learning.
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Racial and Socioeconomic Disparities in Out-Of-Hospital Cardiac Arrest Outcomes: Artificial Intelligence-Augmented Propensity Score and Geospatial Cohort Analysis of 3,952 Patients.
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Machine Learning Automated Detection of Large Vessel Occlusion From Mobile Stroke Unit Computed Tomography Angiography.
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Electrocardiography-Based Artificial Intelligence Algorithm Aids in Prediction of Long-term Mortality After Cardiac Surgery.
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Machine Learning Model for Predicting CVD Risk on NHANES Data.
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Analyzing the use of artificial intelligence for the management of chronic obstructive pulmonary disease (COPD).
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Artificial intelligence in functional imaging of the lung.
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Intelligent Monitoring of Care Status for COPD Patients Based on Deep Learning.
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Deep learning for anatomical interpretation of video bronchoscopy images.
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Development of Nonlaboratory-Based Risk Prediction Models for Cardiovascular Diseases Using Conventional and Machine Learning Approaches.
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Artificial Intelligence: A Shifting Paradigm in Cardio-Cerebrovascular Medicine.
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Prediction of cardiac arrest in critically ill patients based on bedside vital signs monitoring.
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Automated Cerebral Vessel Segmentation of Magnetic Resonance Imaging in Patients with Intracranial Atherosclerotic Diseases.
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A Risk-Based Clinical Decision Support System for Patient-Specific Antimicrobial Therapy (iBiogram): Design and Retrospective Analysis.
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Machine learning for mathematical models of HCV kinetics during antiviral therapy.
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Identifying Drug-Resistant Tuberculosis in Chest Radiographs: Evaluation of CNN Architectures and Training Strategies.
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Does One Treatment Fit All? Effectiveness of a Multicomponent Cognitive Behavioral Therapy Program in Data-Driven Subtypes of Perinatal Depression.
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An artificial intelligence platform to optimize workflow during ovarian stimulation and IVF: process improvement and outcome-based predictions.
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An early model to predict the risk of gestational diabetes mellitus in the absence of blood examination indexes: application in primary health care centres.
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Unsupervised Deep Learning based Longitudinal Follicular Growth Tracking during IVF Cycle using 3D Transvaginal Ultrasound in Assisted Reproduction.
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