AIMC Topic: Female

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Prediction of IDH genotype in gliomas with dynamic susceptibility contrast perfusion MR imaging using an explainable recurrent neural network.

Neuro-oncology Sep 6, 2019
BACKGROUND: The aim of this study was to predict isocitrate dehydrogenase (IDH) genotypes of gliomas using an interpretable deep learning application for dynamic susceptibility contrast (DSC) perfusion MRI.
Male Middle Aged Deep Learning ROC Curve Female Aged Adult Brain Neoplasms Magnetic Resonance Imaging Area Under Curve Mutation Magnetic Resonance Angiography Isocitrate Dehydrogenase Image Processing, Computer-Assisted Genotype Humans Glioma Neural Networks, Computer Contrast Media
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Clinical Data Extraction and Normalization of Cyrillic Electronic Health Records Via Deep-Learning Natural Language Processing.

JCO clinical cancer informatics Sep 1, 2019
PURPOSE: A substantial portion of medical data is unstructured. Extracting data from unstructured text presents a barrier to advancing clinical research and improving patient care. In addition, ongoing studies have been focused predominately on the E...
Deep Learning Natural Language Processing Female Humans Bulgaria Area Under Curve Reproducibility of Results Neural Networks, Computer Medical Informatics Breast Neoplasms Algorithms Biomarkers, Tumor Electronic Health Records
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Knee exoskeleton enhanced with artificial intelligence to provide assistance-as-needed.

The Review of scientific instruments Sep 1, 2019
Robotic therapy is a useful method applied during rehabilitation of stroke patients (to regain motor functions). To ensure active participation of the patient, assistance-as-needed is provided during robotic training. However, most existing studies a...
Robotics Electromyography Knee Joint Humans Exoskeleton Device Artificial Intelligence Female Machine Learning Young Adult Adult Male Muscles Rehabilitation
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Percept-related EEG classification using machine learning approach and features of functional brain connectivity.

Chaos (Woodbury, N.Y.) Sep 1, 2019
Machine learning is a promising approach for electroencephalographic (EEG) trials classification. Its efficiency is largely determined by the feature extraction and selection techniques reducing the dimensionality of input data. Dimensionality reduct...
Electroencephalography Nerve Net Brain Female Humans Adult Machine Learning Male
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Artificial Intelligence and Clinical Decision Support for Radiologists and Referring Providers.

Journal of the American College of Radiology : JACR Sep 1, 2019
Recent advances in artificial intelligence (AI) are providing an opportunity to enhance existing clinical decision support (CDS) tools to improve patient safety and drive value-based imaging. We discuss the advantages and potential applications that ...
Female Male Decision Support Systems, Clinical Radiology Radiologists Referral and Consultation Quality Improvement Machine Learning Algorithms Research Design Health Personnel Humans Artificial Intelligence
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Big Data and Radiology Research.

Journal of the American College of Radiology : JACR Sep 1, 2019
Our understanding of human health may be significantly enhanced in the near future because of the unprecedented volume of digitized health care data and the availability of artificial intelligence to mine these data for correlations that could drive ...
Humans Radiology Quality Improvement National Institutes of Health (U.S.) Female Male Big Data Artificial Intelligence United States Machine Learning Algorithms Forecasting
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Application of Deep Learning to Pancreatic Cancer Detection: Lessons Learned From Our Initial Experience.

Journal of the American College of Radiology : JACR Sep 1, 2019
Workflow Carcinoma, Pancreatic Ductal Quality Improvement Automation Case-Control Studies Deep Learning Imaging, Three-Dimensional Pancreatic Neoplasms Humans Forecasting Tomography, X-Ray Computed Retrospective Studies Female Male
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A Survey of Deep-Learning Applications in Ultrasound: Artificial Intelligence-Powered Ultrasound for Improving Clinical Workflow.

Journal of the American College of Radiology : JACR Sep 1, 2019
Ultrasound is the most commonly used imaging modality in clinical practice because it is a nonionizing, low-cost, and portable point-of-care imaging tool that provides real-time images. Artificial intelligence (AI)-powered ultrasound is becoming more...
Workflow Quality Improvement Ultrasonography, Doppler, Color Surveys and Questionnaires Thyroid Neoplasms Liver Neoplasms United States Humans Artificial Intelligence Algorithms Forecasting Female Breast Neoplasms Male Deep Learning
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Radiology-Pathology Correlation to Facilitate Peer Learning: An Overview Including Recent Artificial Intelligence Methods.

Journal of the American College of Radiology : JACR Sep 1, 2019
Correlation of pathology reports with radiology examinations has long been of interest to radiologists and helps to facilitate peer learning. Such correlation also helps meet regulatory requirements, ensures quality, and supports multidisciplinary co...
Humans Magnetic Resonance Imaging Radiology Prostatic Neoplasms Quality Improvement Artificial Intelligence Female Male Deep Learning Immunohistochemistry Biopsy, Needle
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Strengths, Weaknesses, Opportunities, and Threats Analysis of Artificial Intelligence and Machine Learning Applications in Radiology.

Journal of the American College of Radiology : JACR Sep 1, 2019
Currently, the use of artificial intelligence (AI) in radiology, particularly machine learning (ML), has become a reality in clinical practice. Since the end of the last century, several ML algorithms have been introduced for a wide range of common i...
Male Printing, Three-Dimensional Radiology Workflow Data Collection Health Care Sector Machine Learning Algorithms Forecasting Female Humans Artificial Intelligence
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