AIMC Journal:
Radiology
Showing 161 to 170 of 374 articles
Differentiation of Benign from Malignant Pulmonary Nodules by Using a Convolutional Neural Network to Determine Volume Change at Chest CT.
Radiology
May 26, 2020
Background Deep learning may help to improve computer-aided detection of volume (CADv) measurement of pulmonary nodules at chest CT. Purpose To determine the efficacy of a deep learning method for improving CADv for measuring the solid and ground-gla...
Deep Learning and Lung Cancer: AI to Extract Information Hidden in Routine CT Scans.
Radiology
May 12, 2020
COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System.
Radiology
May 8, 2020
Background Chest radiography may play an important role in triage for coronavirus disease 2019 (COVID-19), particularly in low-resource settings. Purpose To evaluate the performance of an artificial intelligence (AI) system for detection of COVID-19 ...
Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT.
Radiology
Apr 27, 2020
Background Coronavirus disease 2019 (COVID-19) and pneumonia of other diseases share similar CT characteristics, which contributes to the challenges in differentiating them with high accuracy. Purpose To establish and evaluate an artificial intellige...
Radiography, Thoracic
Philadelphia
Rhode Island
Betacoronavirus
Pneumonia, Viral
Diagnosis, Differential
Pneumonia
Radiologists
Coronavirus Infections
Adolescent
Child, Preschool
Child
Humans
Artificial Intelligence
Pandemics
COVID-19
Infant, Newborn
Young Adult
Retrospective Studies
SARS-CoV-2
Middle Aged
Adult
Tomography, X-Ray Computed
Aged
Sensitivity and Specificity
Aged, 80 and over
Infant
Female
Male
Lung
China
Three Reasons Why Artificial Intelligence Might Be the Radiologist's Best Friend.
Radiology
Apr 21, 2020
Using Deep Learning for MRI to Identify Responders to Chemoradiotherapy in Rectal Cancer.
Radiology
Apr 21, 2020
Deep Learning Single-Frame and Multiframe Super-Resolution for Cardiac MRI.
Radiology
Apr 14, 2020
Background Cardiac MRI is limited by long acquisition times, yet faster acquisition of smaller-matrix images reduces spatial detail. Deep learning (DL) might enable both faster acquisition and higher spatial detail via super-resolution. Purpose To ex...
Fellow in a Box: Combining AI and Domain Knowledge with Bayesian Networks for Differential Diagnosis in Neuroimaging.
Radiology
Apr 7, 2020
Artificial Intelligence System Approaching Neuroradiologist-level Differential Diagnosis Accuracy at Brain MRI.
Radiology
Apr 7, 2020
Background Although artificial intelligence (AI) shows promise across many aspects of radiology, the use of AI to create differential diagnoses for rare and common diseases at brain MRI has not been demonstrated. Purpose To evaluate an AI system for ...
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