AIMC Journal:
Radiology

Showing 171 to 180 of 374 articles

Ethics of Using and Sharing Clinical Imaging Data for Artificial Intelligence: A Proposed Framework.

Radiology Mar 24, 2020
In this article, the authors propose an ethical framework for using and sharing clinical data for the development of artificial intelligence (AI) applications. The philosophical premise is as follows: when clinical data are used to provide care, the ...
Ethics, Medical Information Dissemination Artificial Intelligence Diagnostic Imaging Humans
View on PubMed DOI

Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy.

Radiology Mar 19, 2020
Background Coronavirus disease 2019 (COVID-19) has widely spread all over the world since the beginning of 2020. It is desirable to develop automatic and accurate detection of COVID-19 using chest CT. Purpose To develop a fully automatic framework to...
ROC Curve Imaging, Three-Dimensional Diagnosis, Differential Radiographic Image Interpretation, Computer-Assisted Male Middle Aged Deep Learning Clinical Laboratory Techniques Betacoronavirus Pneumonia, Viral Coronavirus Infections COVID-19 Testing Community-Acquired Infections Retrospective Studies Tomography, X-Ray Computed Female Adult Sensitivity and Specificity SARS-CoV-2 Aged Humans Artificial Intelligence Pandemics COVID-19
View on PubMed DOI

Computer-aided Detection of Brain Metastases in T1-weighted MRI for Stereotactic Radiosurgery Using Deep Learning Single-Shot Detectors.

Radiology Mar 17, 2020
Background Brain metastases are manually identified during stereotactic radiosurgery (SRS) treatment planning, which is time consuming and potentially challenging. Purpose To develop and investigate deep learning (DL) methods for detecting brain meta...
Humans Male Retrospective Studies Imaging, Three-Dimensional Middle Aged Diagnosis, Computer-Assisted Radiosurgery Female Contrast Media Deep Learning Brain Neoplasms Magnetic Resonance Imaging
View on PubMed DOI

Fatty Liver Disease: Artificial Intelligence Takes on the Challenge.

Radiology Feb 25, 2020
Humans Non-alcoholic Fatty Liver Disease Neural Networks, Computer Artificial Intelligence Ultrasonography
View on PubMed DOI

Noninvasive Diagnosis of Nonalcoholic Fatty Liver Disease and Quantification of Liver Fat with Radiofrequency Ultrasound Data Using One-dimensional Convolutional Neural Networks.

Radiology Feb 25, 2020
Background Radiofrequency ultrasound data from the liver contain rich information about liver microstructure and composition. Deep learning might exploit such information to assess nonalcoholic fatty liver disease (NAFLD). Purpose To develop and eval...
Magnetic Resonance Imaging Humans Predictive Value of Tests Neural Networks, Computer Middle Aged Female Random Allocation Non-alcoholic Fatty Liver Disease Prospective Studies Ultrasonography Sensitivity and Specificity Radio Waves Image Processing, Computer-Assisted Male
View on PubMed DOI

Preparing Medical Imaging Data for Machine Learning.

Radiology Feb 18, 2020
Artificial intelligence (AI) continues to garner substantial interest in medical imaging. The potential applications are vast and include the entirety of the medical imaging life cycle from image creation to diagnosis to outcome prediction. The chief...
Data Management Diagnostic Imaging Data Collection Machine Learning Algorithms Humans
View on PubMed DOI

Deep Learning for Automatic Calcium Scoring in CT: Validation Using Multiple Cardiac CT and Chest CT Protocols.

Radiology Feb 11, 2020
Background Although several deep learning (DL) calcium scoring methods have achieved excellent performance for specific CT protocols, their performance in a range of CT examination types is unknown. Purpose To evaluate the performance of a DL method ...
Humans Retrospective Studies Coronary Artery Disease Thorax Male Tomography, X-Ray Computed Vascular Calcification Middle Aged Female Deep Learning Clinical Protocols Aged Heart
View on PubMed DOI

Development and Validation of a Multitask Deep Learning Model for Severity Grading of Hip Osteoarthritis Features on Radiographs.

Radiology Feb 4, 2020
Background A multitask deep learning model might be useful in large epidemiologic studies wherein detailed structural assessment of osteoarthritis still relies on expert radiologists' readings. The potential of such a model in clinical routine should...
Humans Retrospective Studies Female Aged Deep Learning Models, Theoretical Radiography Male Osteoarthritis, Hip Middle Aged Severity of Illness Index
View on PubMed DOI

Machine Learning for Detecting Early Infarction in Acute Stroke with Non-Contrast-enhanced CT.

Radiology Jan 28, 2020
Background Identifying the presence and extent of infarcted brain tissue at baseline plays a crucial role in the treatment of patients with acute ischemic stroke (AIS). Patients with extensive infarction are unlikely to benefit from thrombolysis or t...
Middle Aged Stroke Humans Brain Infarction Female Brain Machine Learning Aged Tomography, X-Ray Computed Algorithms Male
View on PubMed DOI

Assessing Radiology Research on Artificial Intelligence: A Brief Guide for Authors, Reviewers, and Readers-From the Editorial Board.

Radiology Dec 31, 2019
Image Interpretation, Computer-Assisted Biomedical Research Humans Radiography Artificial Intelligence Manuscripts, Medical as Topic Radiology Databases, Factual
View on PubMed DOI
Popular Topics
Popular Journals