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

Showing 11 to 20 of 45 articles

Improving intracranial aneurysms image quality and diagnostic confidence with deep learning reconstruction in craniocervical CT angiography.

Acta radiologica (Stockholm, Sweden : 1987) Jun 5, 2024
BACKGROUND: The diagnostic impact of deep learning computed tomography (CT) reconstruction on intracranial aneurysm (IA) remains unclear.
Cerebral Angiography Intracranial Aneurysm Female Aged Adult Radiographic Image Interpretation, Computer-Assisted Humans Male Signal-To-Noise Ratio Middle Aged Retrospective Studies Computed Tomography Angiography Deep Learning
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Mammographic density assessment: comparison of radiologists, automated volumetric measurement, and artificial intelligence-based computer-assisted diagnosis.

Acta radiologica (Stockholm, Sweden : 1987) Jun 2, 2024
BACKGROUND: Artificial intelligence-based computer-assisted diagnosis (AI-CAD) is increasingly used for mammographic exams, and its role in mammographic density assessment should be evaluated.
Retrospective Studies Female Reproducibility of Results Aged Adult Humans Artificial Intelligence Radiologists Radiographic Image Interpretation, Computer-Assisted Breast Observer Variation Breast Density Breast Neoplasms Middle Aged Diagnosis, Computer-Assisted Mammography
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Application of convolutional neural network for differentiating ovarian thecoma-fibroma and solid ovarian cancer based on MRI.

Acta radiologica (Stockholm, Sweden : 1987) May 15, 2024
BACKGROUND: Ovarian thecoma-fibroma and solid ovarian cancer have similar clinical and imaging features, and it is difficult for radiologists to differentiate them. Since the treatment and prognosis of them are different, accurate characterization is...
Female Aged Young Adult Adult Middle Aged Humans Neural Networks, Computer Fibroma Magnetic Resonance Imaging Thecoma Diagnosis, Differential Ovarian Neoplasms Ovary
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The value of CT radiomics combined with deep transfer learning in predicting the nature of gallbladder polypoid lesions.

Acta radiologica (Stockholm, Sweden : 1987) Apr 16, 2024
BACKGROUND: Computed tomography (CT) radiomics combined with deep transfer learning was used to identify cholesterol and adenomatous gallbladder polyps that have not been well evaluated before surgery.
Cholesterol Gallbladder Diseases Gallbladder Neoplasms Polyps Middle Aged Deep Learning Contrast Media Predictive Value of Tests Adenomatous Polyps Gallbladder Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Adult Radiomics Male Female Aged
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Non-invasive assessment of response to transcatheter arterial chemoembolization for hepatocellular carcinoma with the deep neural networks-based radiomics nomogram.

Acta radiologica (Stockholm, Sweden : 1987) Mar 15, 2024
BACKGROUND: Transcatheter arterial chemoembolization (TACE) is a mainstay treatment for intermediate and advanced hepatocellular carcinoma (HCC), with the potential to enhance patient survival. Preoperative prediction of postoperative response to TAC...
Carcinoma, Hepatocellular Nomograms Treatment Outcome Chemoembolization, Therapeutic Male Middle Aged Deep Learning Liver Neoplasms Humans Neural Networks, Computer Retrospective Studies Aged Adult Tomography, X-Ray Computed Radiomics Female
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Deep learning-accelerated T2-weighted imaging versus conventional T2-weighted imaging in the female pelvic cavity: image quality and diagnostic performance.

Acta radiologica (Stockholm, Sweden : 1987) Feb 11, 2024
BACKGROUND: The deep learning (DL)-based reconstruction algorithm reduces noise in magnetic resonance imaging (MRI), thereby enabling faster MRI acquisition.
Retrospective Studies Female Aged Humans Leiomyoma Young Adult Pelvis Adult Uterine Neoplasms Magnetic Resonance Imaging Middle Aged Image Interpretation, Computer-Assisted Deep Learning Uterus
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Determination of Alzheimer's disease based on morphology and atrophy using machine learning combined with automated segmentation.

Acta radiologica (Stockholm, Sweden : 1987) Jan 9, 2024
BACKGROUND: To evaluate the degree of cerebral atrophy for Alzheimer's disease (AD), voxel-based morphometry has been performed with magnetic resonance imaging. Detailed morphological changes in a specific tissue area having the most evidence of atro...
Alzheimer Disease Humans Image Interpretation, Computer-Assisted Machine Learning Neuroimaging Brain Gray Matter Middle Aged Imaging, Three-Dimensional Atrophy Support Vector Machine Magnetic Resonance Imaging Female Aged Aged, 80 and over Male
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Synergizing photon-counting CT with deep learning: potential enhancements in medical imaging.

Acta radiologica (Stockholm, Sweden : 1987) Dec 25, 2023
This review article highlights the potential of integrating photon-counting computed tomography (CT) and deep learning algorithms in medical imaging to enhance diagnostic accuracy, improve image quality, and reduce radiation exposure. The use of phot...
Photons Humans Deep Learning Image Processing, Computer-Assisted Phantoms, Imaging Algorithms Tomography, X-Ray Computed
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Transfer learning for the generalization of artificial intelligence in breast cancer detection: a case-control study.

Acta radiologica (Stockholm, Sweden : 1987) Dec 19, 2023
BACKGROUND: Some researchers have questioned whether artificial intelligence (AI) systems maintain their performance when used for women from populations not considered during the development of the system.
Female Finland Middle Aged Aged Humans Transfer, Psychology Adult Case-Control Studies Artificial Intelligence Breast Neoplasms Mammography Retrospective Studies Breast
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External validation of deep learning-based automated detection algorithm for chest radiograph: practical issues in outpatient clinic.

Acta radiologica (Stockholm, Sweden : 1987) Sep 26, 2023
BACKGROUND: There have been no reports on diagnostic performance of deep learning-based automated detection (DLAD) for thoracic diseases in real-world outpatient clinic.
Radiographic Image Interpretation, Computer-Assisted Ambulatory Care Facilities Aged Radiography, Thoracic Humans Male Algorithms Middle Aged Retrospective Studies Deep Learning Female
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