AIMC Journal:
Radiology

Showing 181 to 190 of 374 articles

Harnessing the Power of Deep Learning to Assess Breast Cancer Risk.

Radiology Dec 17, 2019
Machine Learning Deep Learning Mammography Risk Breast Density
View on PubMed DOI

Moving Artificial Intelligence from Feasible to Real: Time to Drill for Gas and Build Roads.

Radiology Dec 3, 2019
Humans Artificial Intelligence Deep Learning Radiologists
View on PubMed DOI

Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning.

Radiology Nov 19, 2019
Background Deep learning (DL) algorithms are gaining extensive attention for their excellent performance in image recognition tasks. DL models can automatically make a quantitative assessment of complex medical image characteristics and achieve incre...
Ultrasonography, Mammary Neural Networks, Computer Algorithms Feasibility Studies Image Interpretation, Computer-Assisted Humans Breast Neoplasms Aged, 80 and over Middle Aged Young Adult Deep Learning Adult Lymphatic Metastasis Retrospective Studies Sensitivity and Specificity Cohort Studies Predictive Value of Tests Female Lymph Nodes Aged
View on PubMed DOI

Medical Image Perception Research in the Emerging Age of Artificial Intelligence.

Radiology Nov 12, 2019
Software Biomedical Research Radiologists Humans Neural Networks, Computer Artificial Intelligence
View on PubMed DOI

Deep Convolutional Neural Network-based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest Radiographs.

Radiology Nov 12, 2019
Background Multicenter studies are required to validate the added benefit of using deep convolutional neural network (DCNN) software for detecting malignant pulmonary nodules on chest radiographs. Purpose To compare the performance of radiologists in...
Adult Sensitivity and Specificity Male Middle Aged Reproducibility of Results Aged Young Adult Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Lung Lung Neoplasms Multiple Pulmonary Nodules Retrospective Studies Female Humans Neural Networks, Computer
View on PubMed DOI

Three-dimensional Deep Convolutional Neural Networks for Automated Myocardial Scar Quantification in Hypertrophic Cardiomyopathy: A Multicenter Multivendor Study.

Radiology Nov 12, 2019
Background Cardiac MRI late gadolinium enhancement (LGE) scar volume is an important marker for outcome prediction in patients with hypertrophic cardiomyopathy (HCM); however, its clinical application is hindered by a lack of measurement standardizat...
Humans Image Interpretation, Computer-Assisted Cardiomyopathy, Hypertrophic Cicatrix Myocardium Heart Adult Male Middle Aged Imaging, Three-Dimensional Magnetic Resonance Imaging Adolescent Child Reproducibility of Results Neural Networks, Computer Aged Aged, 80 and over Retrospective Studies Young Adult Female
View on PubMed DOI

Machine Learning Reveals the Texture of Regional Lung Ventilation at CT.

Radiology Oct 22, 2019
Pulmonary Disease, Chronic Obstructive Humans Pulmonary Ventilation Machine Learning Tomography, X-Ray Computed
View on PubMed DOI

Deep Learning for Chest Radiography in the Emergency Department.

Radiology Oct 22, 2019
Radiography Deep Learning Emergency Service, Hospital Thorax
View on PubMed DOI

Chronic Obstructive Pulmonary Disease: Thoracic CT Texture Analysis and Machine Learning to Predict Pulmonary Ventilation.

Radiology Oct 22, 2019
Background Fixed airflow limitation and ventilation heterogeneity are common in chronic obstructive pulmonary disease (COPD). Conventional noncontrast CT provides airway and parenchymal measurements but cannot be used to directly determine lung funct...
Adult Pulmonary Disease, Chronic Obstructive Male Middle Aged Female Pulmonary Ventilation Prospective Studies Aged Humans Tomography, X-Ray Computed Aged, 80 and over Support Vector Machine Machine Learning Longitudinal Studies Magnetic Resonance Imaging
View on PubMed DOI

Deep Learning for Chest Radiograph Diagnosis in the Emergency Department.

Radiology Oct 22, 2019
BackgroundThe performance of a deep learning (DL) algorithm should be validated in actual clinical situations, before its clinical implementation.PurposeTo evaluate the performance of a DL algorithm for identifying chest radiographs with clinically r...
Humans Clinical Competence Retrospective Studies Diagnosis, Differential Male Radiography, Thoracic Emergency Service, Hospital Aged Female Middle Aged Adult Deep Learning Sensitivity and Specificity
View on PubMed DOI
Popular Topics
Popular Journals