AIMC Topic: Radiographic Image Interpretation, Computer-Assisted

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Predicting mortality after transcatheter aortic valve replacement using AI-based fully automated left atrioventricular coupling index.

Journal of cardiovascular computed tomography Jan 9, 2025
BACKGROUND: This study aimed to determine whether artificial intelligence (AI)-based automated assessment of left atrioventricular coupling index (LACI) can provide incremental value above other traditional risk factors for predicting mortality among...
Risk Assessment Severity of Illness Index Time Factors Aortic Valve Predictive Value of Tests Treatment Outcome Aortic Valve Stenosis Male Ventricular Function, Left Stroke Volume Risk Factors Aged Humans Aged, 80 and over Atrial Function, Left Artificial Intelligence Computed Tomography Angiography Transcatheter Aortic Valve Replacement Retrospective Studies Coronary Angiography Female Radiographic Image Interpretation, Computer-Assisted Automation
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Repeatability of AI-based, automatic measurement of vertebral and cardiovascular imaging biomarkers in low-dose chest CT: the ImaLife cohort.

European radiology Jan 8, 2025
OBJECTIVE: To evaluate the repeatability of AI-based automatic measurement of vertebral and cardiovascular markers on low-dose chest CT.
Humans Male Middle Aged Cohort Studies Radiography, Thoracic Female Artificial Intelligence Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Radiation Dosage Biomarkers Aged Tomography, X-Ray Computed
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Enhanced swin transformer based tuberculosis classification with segmentation using chest X-ray.

Journal of X-ray science and technology Jan 8, 2025
BACKGROUND:: Tuberculosis disease is the disease that causes significant morbidity and mortality worldwide. Thus, early detection of the disease is crucial for proper treatment and controlling the spread of Tuberculosis disease. Chest X-ray imaging i...
Tuberculosis Deep Learning Humans Tuberculosis, Pulmonary Image Processing, Computer-Assisted Neural Networks, Computer Radiography, Thoracic Radiographic Image Interpretation, Computer-Assisted Algorithms
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Sparse keypoint segmentation of lung fissures: efficient geometric deep learning for abstracting volumetric images.

International journal of computer assisted radiology and surgery Jan 7, 2025
PURPOSE: Lung fissure segmentation on CT images often relies on 3D convolutional neural networks (CNNs). However, 3D-CNNs are inefficient for detecting thin structures like the fissures, which make up a tiny fraction of the entire image volume. We pr...
Humans Neural Networks, Computer Tomography, X-Ray Computed Lung Deep Learning Imaging, Three-Dimensional Radiographic Image Interpretation, Computer-Assisted
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DCTP-Net: Dual-Branch CLIP-Enhance Textual Prompt-Aware Network for Acute Ischemic Stroke Lesion Segmentation From CT Image.

IEEE journal of biomedical and health informatics Jan 7, 2025
Detecting early ischemic lesions (EIL) in computed tomography (CT) images is crucial for reducing diagnostic time and minimizing neuron loss due to oxygen deprivation. This paper introduces DCTP-Net, a dual-branch network for segmenting acute ischemi...
Brain Tomography, X-Ray Computed Ischemic Stroke Humans Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted
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Dual-Stage AI Model for Enhanced CT Imaging: Precision Segmentation of Kidney and Tumors.

Tomography (Ann Arbor, Mich.) Jan 3, 2025
OBJECTIVES: Accurate kidney and tumor segmentation of computed tomography (CT) scans is vital for diagnosis and treatment, but manual methods are time-consuming and inconsistent, highlighting the value of AI automation. This study develops a fully au...
Male Middle Aged Female Kidney Artificial Intelligence Contrast Media Humans Aged Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Sensitivity and Specificity Kidney Neoplasms
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Novel transfer learning based bone fracture detection using radiographic images.

BMC medical imaging Jan 3, 2025
A bone fracture is a medical condition characterized by a partial or complete break in the continuity of the bone. Fractures are primarily caused by injuries and accidents, affecting millions of people worldwide. The healing process for a fracture ca...
Fractures, Bone Radiographic Image Interpretation, Computer-Assisted X-Rays Neural Networks, Computer Machine Learning Algorithms
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Malignancy risk stratification for pulmonary nodules: comparing a deep learning approach to multiparametric statistical models in different disease groups.

European radiology Jan 2, 2025
OBJECTIVES: Incidentally detected pulmonary nodules present a challenge in clinical routine with demand for reliable support systems for risk classification. We aimed to evaluate the performance of the lung-cancer-prediction-convolutional-neural-netw...
Aged Adult Male Middle Aged Retrospective Studies Tomography, X-Ray Computed Multiple Pulmonary Nodules Female Humans Solitary Pulmonary Nodule Models, Statistical Risk Assessment Radiographic Image Interpretation, Computer-Assisted Deep Learning Lung Neoplasms
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PFSH-Net: Parallel frequency-spatial hybrid network for segmentation of kidney stones in pre-contrast computed tomography images of dogs.

Computers in biology and medicine Jan 2, 2025
Kidney stone is a common urological disease in dogs and can lead to serious complications such as pyelonephritis and kidney failure. However, manual diagnosis involves a lot of burdens on radiologists and may cause human errors due to fatigue. Automa...
Kidney Calculi Tomography, X-Ray Computed Animals Deep Learning Dogs Image Processing, Computer-Assisted Dog Diseases Radiographic Image Interpretation, Computer-Assisted
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BCNet: Bronchus Classification via Structure Guided Representation Learning.

IEEE transactions on medical imaging Jan 2, 2025
CT-based bronchial tree analysis is a key step for the diagnosis of lung and airway diseases. However, the topology of bronchial trees varies across individuals, which presents a challenge to the automatic bronchus classification. To solve this issue...
Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Bronchi Humans Neural Networks, Computer
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