AIMC Journal:
European radiology

Showing 371 to 380 of 621 articles

High-strength deep learning image reconstruction in coronary CT angiography at 70-kVp tube voltage significantly improves image quality and reduces both radiation and contrast doses.

European radiology Jan 21, 2022
OBJECTIVES: To explore the use of 70-kVp tube voltage combined with high-strength deep learning image reconstruction (DLIR-H) in reducing radiation and contrast doses in coronary CT angiography (CCTA) in patients with body mass index (BMI) < 26 kg/m,...
Humans Algorithms Image Processing, Computer-Assisted Contrast Media Deep Learning Radiation Dosage Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography
View on PubMed DOI

Combined model-based and deep learning-based automated 3D zonal segmentation of the prostate on T2-weighted MR images: clinical evaluation.

European radiology Jan 10, 2022
OBJECTIVE: To train and to test for prostate zonal segmentation an existing algorithm already trained for whole-gland segmentation.
Prostate Pelvis Algorithms Male Image Processing, Computer-Assisted Humans Deep Learning Magnetic Resonance Imaging
View on PubMed DOI

Clinical impact of a deep learning system for automated detection of missed pulmonary nodules on routine body computed tomography including the chest region.

European radiology Jan 9, 2022
OBJECTIVES: To evaluate the clinical impact of a deep learning system (DLS) for automated detection of pulmonary nodules on computed tomography (CT) images as a second reader.
Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Sensitivity and Specificity Lung Neoplasms Multiple Pulmonary Nodules Deep Learning Humans Retrospective Studies
View on PubMed DOI

Automatic detection of actionable findings and communication mentions in radiology reports using natural language processing.

European radiology Jan 6, 2022
OBJECTIVES: To develop and validate classifiers for automatic detection of actionable findings and documentation of nonroutine communication in routinely delivered radiology reports.
Humans Natural Language Processing Machine Learning Radiology Communication
View on PubMed DOI

Clinical acceptance of deep learning reconstruction for abdominal CT imaging: objective and subjective image quality and low-contrast detectability assessment.

European radiology Jan 6, 2022
OBJECTIVE: To evaluate the image quality and clinical acceptance of a deep learning reconstruction (DLR) algorithm compared to traditional iterative reconstruction (IR) algorithms.
Humans Algorithms Tomography, X-Ray Computed Radiation Dosage Phantoms, Imaging Deep Learning Radiographic Image Interpretation, Computer-Assisted
View on PubMed DOI

Artificial intelligence for stepwise diagnosis and monitoring of COVID-19.

European radiology Jan 6, 2022
BACKGROUND: Main challenges for COVID-19 include the lack of a rapid diagnostic test, a suitable tool to monitor and predict a patient's clinical course and an efficient way for data sharing among multicenters. We thus developed a novel artificial in...
Radiologists Humans Artificial Intelligence Algorithms Tomography, X-Ray Computed COVID-19
View on PubMed DOI

Diagnostic effect of artificial intelligence solution for referable thoracic abnormalities on chest radiography: a multicenter respiratory outpatient diagnostic cohort study.

European radiology Jan 1, 2022
OBJECTIVES: We aim ed to evaluate a commercial artificial intelligence (AI) solution on a multicenter cohort of chest radiographs and to compare physicians' ability to detect and localize referable thoracic abnormalities with and without AI assistanc...
Artificial Intelligence Prospective Studies Retrospective Studies Humans Radiography Radiography, Thoracic Sensitivity and Specificity Outpatients Cohort Studies
View on PubMed DOI

The effect of deep learning reconstruction on abdominal CT densitometry and image quality: a systematic review and meta-analysis.

European radiology Dec 15, 2021
OBJECTIVE: To determine the difference in CT values and image quality of abdominal CT images reconstructed by filtered back-projection (FBP), hybrid iterative reconstruction (IR), and deep learning reconstruction (DLR).
Radiation Dosage Densitometry Abdomen Algorithms Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Deep Learning Humans
View on PubMed DOI

A fully automatic artificial intelligence-based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis.

European radiology Nov 29, 2021
OBJECTIVES: An accurate and rapid diagnosis is crucial for the appropriate treatment of pulmonary tuberculosis (TB). This study aims to develop an artificial intelligence (AI)-based fully automated CT image analysis system for detection, diagnosis, a...
Female Tuberculosis, Pulmonary Retrospective Studies Aged Tomography, X-Ray Computed Middle Aged Humans Adult Artificial Intelligence Image Processing, Computer-Assisted
View on PubMed DOI

Artificial intelligence on MRI for molecular subtyping of diffuse gliomas: feature comparison, visualization, and correlation between radiomics and deep learning.

European radiology Nov 26, 2021
Artificial Intelligence Deep Learning Glioma Humans Magnetic Resonance Imaging
View on PubMed DOI
Popular Topics
Popular Journals