AI Medical Compendium Journal:
Acta radiologica (Stockholm, Sweden : 1987)

Showing 21 to 30 of 45 articles

Evaluation of late gadolinium enhancement cardiac MRI using deep learning reconstruction.

Acta radiologica (Stockholm, Sweden : 1987) Sep 12, 2023
BACKGROUND: Deep learning (DL)-based methods have been used to improve the imaging quality of magnetic resonance imaging (MRI) by denoising.
Humans Magnetic Resonance Imaging Heart Gadolinium Deep Learning Contrast Media
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Medical applications of generative adversarial network: a visualization analysis.

Acta radiologica (Stockholm, Sweden : 1987) Aug 21, 2023
BACKGROUND: Deep learning (DL) is one of the latest approaches to artificial intelligence. As an unsupervised DL method, a generative adversarial network (GAN) can be used to synthesize new data.
Humans Image Processing, Computer-Assisted Artificial Intelligence Bibliometrics Peer Review Biomedical Research
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Pectoralis muscle predicts distant metastases in breast cancer by deep learning radiomics.

Acta radiologica (Stockholm, Sweden : 1987) Jul 12, 2023
BACKGROUND: Sarcopenia is associated with a poor prognosis in patients with breast cancer (BC). Currently, there are few quantitative assessments carried out between muscle biomarkers and distant metastasis using existing methods.
Retrospective Studies Breast Neoplasms Pectoralis Muscles Female Deep Learning Humans Biomarkers
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Screening outcome for interpretation by the first and second reader in a population-based mammographic screening program with independent double reading.

Acta radiologica (Stockholm, Sweden : 1987) May 28, 2023
BACKGROUND: Double reading of screening mammograms is associated with a higher rate of screen-detected cancer than single reading, but different strategies exist regarding reader pairing and blinding. Knowledge about these aspects is important when c...
Artificial Intelligence Female Humans Early Detection of Cancer Mammography Observer Variation Breast Neoplasms Mass Screening
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Deep learning-extracted CT imaging phenotypes predict response to total resection in colorectal cancer.

Acta radiologica (Stockholm, Sweden : 1987) Feb 10, 2023
BACKGROUND: Deep learning surpasses many traditional methods for many vision tasks, allowing the transformation of hierarchical features into more abstract, high-level features.
Deep Learning Humans Tomography, X-Ray Computed Colorectal Neoplasms Phenotype
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Automatic mammographic breast density classification in Chinese women: clinical validation of a deep learning model.

Acta radiologica (Stockholm, Sweden : 1987) Jan 22, 2023
BACKGROUND: High breast density is a strong risk factor for breast cancer. As such, high consistency and accuracy in breast density assessment is necessary.
Breast Density East Asian People Mammography Breast Neoplasms Deep Learning Humans Female
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Deep learning-based noise reduction for coronary CT angiography: using four-dimensional noise-reduction images as the ground truth.

Acta radiologica (Stockholm, Sweden : 1987) Dec 7, 2022
BACKGROUND: To assess low-contrast areas such as plaque and coronary artery stenosis, coronary computed tomography angiography (CCTA) needs to provide images with lower noise without increasing radiation doses.
Humans Retrospective Studies Radiation Dosage Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Coronary Artery Disease Deep Learning Coronary Stenosis Coronary Angiography
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Artificial intelligence assistance for women who had spot compression view: reducing recall rates for digital mammography.

Acta radiologica (Stockholm, Sweden : 1987) Nov 25, 2022
BACKGROUND: Mammography yields inevitable recall for indeterminate findings that need to be confirmed with additional views.
Retrospective Studies Mammography Female Breast Neoplasms Humans Breast Early Detection of Cancer Artificial Intelligence Breast Density
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The clinical feasibility of artificial intelligence-assisted compressed sensing single-shot fluid-attenuated inversion recovery (ACS-SS-FLAIR) for evaluation of uncooperative patients with brain diseases: comparison with the conventional T2-FLAIR with parallel imaging.

Acta radiologica (Stockholm, Sweden : 1987) Nov 24, 2022
BACKGROUND: Satisfactory magnetic resonance imaging (MRI) of those patients with involuntary head motion due to brain diseases is essential in avoiding missed diagnosis and guiding treatment.
Feasibility Studies Motion Brain Diseases Brain Magnetic Resonance Imaging Humans Artificial Intelligence
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Measuring pure ground-glass nodules on computed tomography: assessing agreement between a commercially available deep learning algorithm and radiologists' readings.

Acta radiologica (Stockholm, Sweden : 1987) Oct 31, 2022
BACKGROUND: Deep learning algorithms (DLAs) could enable automatic measurements of solid portions of mixed ground-glass nodules (mGGNs) in agreement with the invasive component sizes measured during pathologic examinations. However, the measurement o...
Retrospective Studies Neoplasm Invasiveness Humans Deep Learning Algorithms Tomography, X-Ray Computed Adenocarcinoma of Lung Lung Neoplasms Adenocarcinoma
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