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

Showing 1 to 10 of 45 articles

Utilizing deep learning for automatic segmentation of the cochleae in temporal bone computed tomography.

Acta radiologica (Stockholm, Sweden : 1987) Jan 22, 2025
BackgroundSegmentation of the cochlea in temporal bone computed tomography (CT) is the basis for image-guided otologic surgery. Manual segmentation is time-consuming and laborious.PurposeTo assess the utility of deep learning analysis in automatic se...
Deep Learning Radiographic Image Interpretation, Computer-Assisted Cochlea Temporal Bone Humans Tomography, X-Ray Computed
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A combined model integrating radiomics and deep learning based on multiparametric magnetic resonance imaging for classification of brain metastases.

Acta radiologica (Stockholm, Sweden : 1987) Nov 18, 2024
BACKGROUND: Radiomics and deep learning (DL) can individually and efficiently identify the pathological type of brain metastases (BMs).
Lung Neoplasms Magnetic Resonance Imaging Feasibility Studies Image Interpretation, Computer-Assisted Adenocarcinoma of Lung Multiparametric Magnetic Resonance Imaging Brain Neoplasms Male Middle Aged Deep Learning Female Aged Adult Radiomics Humans Brain Retrospective Studies
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Deep-learning reconstruction enhances image quality of Adamkiewicz Artery in low-keV dual-energy CT.

Acta radiologica (Stockholm, Sweden : 1987) Oct 22, 2024
BACKGROUND: Low-keV virtual monoenergetic images (VMIs) of dual-energy computed tomography (CT) enhances iodine contrast for detecting small arteries like the Adamkiewicz artery (AKA), but image noise can be problematic. Deep-learning image reconstru...
Humans Retrospective Studies Female Spinal Cord Signal-To-Noise Ratio Middle Aged Aged Computed Tomography Angiography Deep Learning Aged, 80 and over Radiography, Dual-Energy Scanned Projection Contrast Media Adult Radiographic Image Interpretation, Computer-Assisted Male
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Machine learning and radiomics for ventricular tachyarrhythmia prediction in hypertrophic cardiomyopathy: insights from an MRI-based analysis.

Acta radiologica (Stockholm, Sweden : 1987) Oct 1, 2024
BACKGROUND: Myocardial fibrosis is often detected in patients with hypertrophic cardiomyopathy (HCM), which causes left ventricular (LV) dysfunction and tachyarrhythmias.
Contrast Media Magnetic Resonance Imaging Predictive Value of Tests Cardiomyopathy, Hypertrophic Adult Humans Radiomics Machine Learning Male Retrospective Studies Middle Aged Female Tachycardia, Ventricular Magnetic Resonance Imaging, Cine
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Machine learning models based on CT radiomics features for distinguishing benign and malignant vertebral compression fractures in patients with malignant tumors.

Acta radiologica (Stockholm, Sweden : 1987) Oct 1, 2024
BACKGROUND: Radiomics has become an important tool for distinguishing benign and malignant vertebral compression fractures (VCFs). It is more clinically significant to concentrate on patients who have malignant tumors and differentiate between benign...
Aged, 80 and over Adult Radiomics Male Retrospective Studies Tomography, X-Ray Computed Female Aged Fractures, Compression Middle Aged Diagnosis, Differential Spinal Neoplasms Spinal Fractures Humans Machine Learning
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Pulmonary nodule visualization and evaluation of AI-based detection at various ultra-low-dose levels using photon-counting detector CT.

Acta radiologica (Stockholm, Sweden : 1987) Sep 15, 2024
BACKGROUND: Radiation dose should be as low as reasonably achievable. With the invention of photon-counting detector computed tomography (PCD-CT), the radiation dose may be considerably reduced.
Radiation Dosage Phantoms, Imaging Photons Lung Lung Neoplasms Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Humans Artificial Intelligence Tomography, X-Ray Computed
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Assessment of multi-modal magnetic resonance imaging for glioma based on a deep learning reconstruction approach with the denoising method.

Acta radiologica (Stockholm, Sweden : 1987) Sep 2, 2024
BACKGROUND: Deep learning reconstruction (DLR) with denoising has been reported as potentially improving the image quality of magnetic resonance imaging (MRI). Multi-modal MRI is a critical non-invasive method for tumor detection, surgery planning, a...
Humans Retrospective Studies Female Aged Young Adult Contrast Media Deep Learning Magnetic Resonance Imaging Adolescent Signal-To-Noise Ratio Adult Multimodal Imaging Image Processing, Computer-Assisted Brain Neoplasms Glioma Image Interpretation, Computer-Assisted Male Middle Aged
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Development of a deep learning-based fully automated segmentation of rotator cuff muscles from clinical MR scans.

Acta radiologica (Stockholm, Sweden : 1987) Jul 23, 2024
BACKGROUND: The fatty infiltration and atrophy in the muscle after a rotator cuff (RC) tear are important in surgical decision-making and are linked to poor clinical outcomes after rotator cuff repair. An accurate and reliable quantitative method sho...
Magnetic Resonance Imaging Rotator Cuff Injuries Rotator Cuff Humans Female Reproducibility of Results Aged Adult Male Middle Aged Deep Learning
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A systematic review of deep learning-based spinal bone lesion detection in medical images.

Acta radiologica (Stockholm, Sweden : 1987) Jul 21, 2024
Spinal bone lesions encompass a wide array of pathologies, spanning from benign abnormalities to aggressive malignancies, such as diffusely localized metastases. Early detection and accurate differentiation of the underlying diseases is crucial for e...
Spinal Neoplasms Humans Tomography, X-Ray Computed Deep Learning Magnetic Resonance Imaging Spine
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Deep learning image reconstruction for low-kiloelectron volt virtual monoenergetic images in abdominal dual-energy CT: medium strength provides higher lesion conspicuity.

Acta radiologica (Stockholm, Sweden : 1987) Jul 21, 2024
BACKGROUND: The best settings of deep learning image reconstruction (DLIR) algorithm for abdominal low-kiloelectron volt (keV) virtual monoenergetic imaging (VMI) have not been determined.
Radiography, Dual-Energy Scanned Projection Tomography, X-Ray Computed Female Aged Aged, 80 and over Humans Algorithms Retrospective Studies Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Radiography, Abdominal Adult Male Middle Aged Deep Learning
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