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Accuracy Analysis of Deep Learning Methods in Breast Cancer Classification: A Structured Review.
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Improving Automatic Melanoma Diagnosis Using Deep Learning-Based Segmentation of Irregular Networks.
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Development of a Machine Learning-Based Prediction Model for Chemotherapy-Induced Myelosuppression in Children with Wilms' Tumor.
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A Real-Time Polyp-Detection System with Clinical Application in Colonoscopy Using Deep Convolutional Neural Networks.
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Deep-Learning Models for Detection and Localization of Visible Clinically Significant Prostate Cancer on Multi-Parametric MRI.
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Exploring the Use of Artificial Intelligence in the Management of Prostate Cancer.
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Can we use Artificial Intelligence Cluster Analysis to Identify Patients with Metastatic Breast Cancer to the Spine at Highest Risk of Post-Operative Adverse Events?
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Assessment of the statistical optimization strategies and clinical evaluation of an artificial intelligence-based automated diagnostic system for thyroid nodule screening.
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Analyzing breast cancer invasive disease event classification through explainable artificial intelligence.
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Development and Validation of a Novel Score for Predicting Long-Term Mortality after an Acute Ischemic Stroke.
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The Role of Artificial Intelligence in Monitoring Inflammatory Bowel Disease-The Future Is Now.
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Harnessing the potential of machine learning and artificial intelligence for dementia research.
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Bayesian network modeling of risk and prodromal markers of Parkinson's disease.
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Machine learning-based model for predicting the esophagogastric variceal bleeding risk in liver cirrhosis patients.
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Automated large-scale prediction of exudative AMD progression using machine-read OCT biomarkers.
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Ultrasound-Based Machine Learning Approach for Detection of Nonalcoholic Fatty Liver Disease.
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Cost-Utility Analysis of Deep Learning and Trained Human Graders for Diabetic Retinopathy Screening in a Nationwide Program.
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Machine Learning Models to Predict the Risk of Rapidly Progressive Kidney Disease and the Need for Nephrology Referral in Adult Patients with Type 2 Diabetes.
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An Integrated Digital Health Care Platform for Diabetes Management With AI-Based Dietary Management: 48-Week Results From a Randomized Controlled Trial.
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Predicting total knee replacement at 2 and 5 years in osteoarthritis patients using machine learning.
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A New Risk Model Based on the Machine Learning Approach for Prediction of Mortality in the Respiratory Intensive Care Unit.
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A Rule Based Intelligent Software to Predict Length of Stay and the Mortality Rate in Trauma Patients in the Intensive Care Unit.
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A nested machine learning approach to short-term PM prediction in metropolitan areas using PM data from different sensor networks.
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A systematic review of federated learning applications for biomedical data.
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Leveraging Mobile Phone Sensors, Machine Learning and Explainable Artificial Intelligence to Predict Imminent Same-Day Binge Drinking Events to Support Just-In-Time Adaptive Interventions: A Feasibility Study.
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Enabling Informed Decision Making in the Absence of Detailed Nutrition Labels: A Model to Estimate the Added Sugar Content of Foods.
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Review of Technological Challenges in Personalised Medicine and Early Diagnosis of Neurodegenerative Disorders.
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Artificial Neural Network-Assisted Classification of Hearing Prognosis of Sudden Sensorineural Hearing Loss With Vertigo.
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An efficient approach to estimate the risk of coronary artery disease for people living with HIV using machine-learning-based retinal image analysis.
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Social Determinants, Cardiovascular Disease, and Health Care Cost: A Nationwide Study in the United States Using Machine Learning.
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Design and Conceptual Proposal of an Intelligent Clinical Decision Support System for the Diagnosis of Suspicious Obstructive Sleep Apnea Patients from Health Profile.
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The development of a machine learning algorithm for early detection of viral hepatitis B infection in Nigerian patients.
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Exploring a global interpretation mechanism for deep learning networks when predicting sepsis.
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Machine learning model for predicting ciprofloxacin resistance and presence of ESBL in patients with UTI in the ED.
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Development of a Reinforcement Learning Algorithm to Optimize Corticosteroid Therapy in Critically Ill Patients with Sepsis.
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WebGIS-Based Real-Time Surveillance and Response System for Vector-Borne Infectious Diseases.
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Mycobacterial cavity on chest computed tomography: clinical implications and deep learning-based automatic detection with quantification.
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