AIMC Journal:
European radiology

Showing 311 to 320 of 621 articles

Radiologists with and without deep learning-based computer-aided diagnosis: comparison of performance and interobserver agreement for characterizing and diagnosing pulmonary nodules/masses.

European radiology Jun 25, 2022
OBJECTIVES: To compare the performance of radiologists in characterizing and diagnosing pulmonary nodules/masses with and without deep learning (DL)-based computer-aided diagnosis (CAD).
Diagnosis, Computer-Assisted Radiologists Reproducibility of Results Deep Learning Observer Variation Sensitivity and Specificity Multiple Pulmonary Nodules Humans Lung Neoplasms Solitary Pulmonary Nodule Computers
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Deep learning-based acceleration of Compressed Sense MR imaging of the ankle.

European radiology Jun 25, 2022
OBJECTIVES: To evaluate a compressed sensing artificial intelligence framework (CSAI) to accelerate MRI acquisition of the ankle.
Humans Signal-To-Noise Ratio Magnetic Resonance Imaging Ankle Artificial Intelligence Deep Learning Acceleration Prospective Studies Imaging, Three-Dimensional Artifacts
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Lower-extremity fatigue fracture detection and grading based on deep learning models of radiographs.

European radiology Jun 24, 2022
OBJECTIVES: To identify the feasibility of deep learning-based diagnostic models for detecting and assessing lower-extremity fatigue fracture severity on plain radiographs.
Radiography Extremities Fractures, Stress Humans Retrospective Studies Deep Learning
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Can deep learning improve image quality of low-dose CT: a prospective study in interstitial lung disease.

European radiology Jun 24, 2022
OBJECTIVES: To investigate whether deep learning reconstruction (DLR) could keep image quality and reduce radiation dose in interstitial lung disease (ILD) patients compared with HRCT reconstructed with hybrid iterative reconstruction (hybrid-IR).
Humans Algorithms Radiation Dosage Deep Learning Radiographic Image Interpretation, Computer-Assisted Prospective Studies Tomography, X-Ray Computed Lung Diseases, Interstitial
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Deep-learning-based 3D super-resolution MRI radiomics model: superior predictive performance in preoperative T-staging of rectal cancer.

European radiology Jun 21, 2022
OBJECTIVES: To investigate the feasibility and efficacy of a deep-learning (DL)-based three-dimensional (3D) super-resolution (SR) MRI radiomics model for preoperative T-staging prediction in rectal cancer (RC).
Rectal Neoplasms Humans Retrospective Studies ROC Curve Magnetic Resonance Imaging Deep Learning
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Deep learning to detect anterior cruciate ligament tear on knee MRI: multi-continental external validation.

European radiology Jun 21, 2022
OBJECTIVES: To develop a deep-learning algorithm for anterior cruciate ligament (ACL) tear detection and to compare its accuracy using two external datasets.
Anterior Cruciate Ligament Injuries Anterior Cruciate Ligament Humans Magnetic Resonance Imaging Arthroscopy Sensitivity and Specificity Deep Learning Retrospective Studies
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Possible strategies for use of artificial intelligence in screen-reading of mammograms, based on retrospective data from 122,969 screening examinations.

European radiology Jun 15, 2022
OBJECTIVES: Artificial intelligence (AI) has shown promising results when used on retrospective data from mammographic screening. However, few studies have explored the possible consequences of different strategies for combining AI and radiologists i...
Artificial Intelligence Prospective Studies Retrospective Studies Humans Mass Screening Early Detection of Cancer Mammography Female Breast Neoplasms
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Comparison of utility of deep learning reconstruction on 3D MRCPs obtained with three different k-space data acquisitions in patients with IPMN.

European radiology Jun 10, 2022
OBJECTIVE: To compare the utility of deep learning reconstruction (DLR) for improving acquisition time, image quality, and intraductal papillary mucinous neoplasm (IPMN) evaluation for 3D MRCP obtained with parallel imaging (PI), multiple k-space dat...
Pancreatic Intraductal Neoplasms Pancreatic Neoplasms Deep Learning Humans Retrospective Studies Signal-To-Noise Ratio
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Clinical validation of an AI-based motion correction reconstruction algorithm in cerebral CT.

European radiology Jun 9, 2022
OBJECTIVES: To evaluate the clinical performance of an artificial intelligence (AI)-based motion correction (MC) reconstruction algorithm for cerebral CT.
Humans Artificial Intelligence Algorithms Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio Retrospective Studies Tomography, X-Ray Computed
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Puncture accuracy of an optical tracked robotic aiming device-a phantom study.

European radiology Jun 9, 2022
OBJECTIVES: To evaluate the targeting accuracy of stereotactic punctures based on a hybrid robotic device in combination with optical tracking-a phantom study.
Punctures Phantoms, Imaging Humans Robotics Robotic Surgical Procedures Imaging, Three-Dimensional
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