AI Medical Compendium Journal:
Journal of X-ray science and technology

Showing 1 to 10 of 116 articles

Prescriptive analytics decision-making system for cardiovascular disease prediction in long COVID patients using advanced reinforcement learning algorithms.

Journal of X-ray science and technology May 11, 2025
In recent years Covid-19 impact is causing unprecedented difficulties worldwide, affecting lifestyle choices. The post-pandemic era has made this even more critical.COVID-19 triggers widespread inflammation throughout the body, potentially causing da...
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Feasibility exploration of myocardial blood flow synthesis from a simulated static myocardial computed tomography perfusion via a deep neural network.

Journal of X-ray science and technology Mar 3, 2025
BACKGROUND:  Myocardial blood flow (MBF) provides important diagnostic information for myocardial ischemia. However, dynamic computed tomography perfusion (CTP) needed for MBF involves multiple exposures, leading to high radiation doses.
Male Tomography, X-Ray Computed Female Humans Middle Aged Aged Neural Networks, Computer Coronary Artery Disease Feasibility Studies Myocardial Ischemia Coronary Circulation Myocardial Perfusion Imaging Image Processing, Computer-Assisted
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KBA-PDNet: A primal-dual unrolling network with kernel basis attention for low-dose CT reconstruction.

Journal of X-ray science and technology Mar 3, 2025
Computed tomography (CT) image reconstruction is faced with challenge of balancing image quality and radiation dose. Recent unrolled optimization methods address low-dose CT image quality issues using convolutional neural networks or self-attention m...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Radiation Dosage Phantoms, Imaging Algorithms Tomography, X-Ray Computed
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Multi-axis transformer based U-Net with class balanced ensemble model for lung disease classification using X-ray images.

Journal of X-ray science and technology Feb 26, 2025
Chest X-rays are an essential diagnostic tool for identifying chest disorders because of its high sensitivity in detecting pathological anomalies in the lungs. Classification models based on conventional Convolutional Neural Networks (CNNs) are adve...
Algorithms Lung Diseases Lung Radiography, Thoracic Image Processing, Computer-Assisted Humans Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Deep Learning
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Comparative analysis of machine learning and deep learning algorithms for knee arthritis detection using YOLOv8 models.

Journal of X-ray science and technology Feb 26, 2025
Knee arthritis is a prevalent joint condition that affects many people worldwide. Early detection and appropriate treatment are essential to slow the disease's progression and enhance patients' quality of life. In this study, various machine learning...
Osteoarthritis, Knee Humans Neural Networks, Computer Machine Learning Algorithms Knee Joint Image Interpretation, Computer-Assisted Deep Learning
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A deep learning detection method for pancreatic cystic neoplasm based on Mamba architecture.

Journal of X-ray science and technology Feb 18, 2025
OBJECTIVE: Early diagnosis of pancreatic cystic neoplasm (PCN) is crucial for patient survival. This study proposes M-YOLO, a novel model combining Mamba architecture and YOLO, to enhance the detection of pancreatic cystic tumors. The model addresses...
Algorithms Tomography, X-Ray Computed Sensitivity and Specificity Humans Pancreatic Neoplasms Image Interpretation, Computer-Assisted Pancreatic Cyst Deep Learning Image Processing, Computer-Assisted
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Advancing lung cancer diagnosis: Combining 3D auto-encoders and attention mechanisms for CT scan analysis.

Journal of X-ray science and technology Jan 28, 2025
ObjectiveThe goal of this study is to assess the effectiveness of a hybrid deep learning model that combines 3D Auto-encoders with attention mechanisms to detect lung cancer early from CT scan images. The study aims to improve diagnostic accuracy, se...
Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Deep Learning Imaging, Three-Dimensional Tomography, X-Ray Computed Sensitivity and Specificity Lung Humans Algorithms
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A multi-model machine learning framework for breast cancer risk stratification using clinical and imaging data.

Journal of X-ray science and technology Jan 27, 2025
PurposeThis study presents a comprehensive machine learning framework for assessing breast cancer malignancy by integrating clinical features with imaging features derived from deep learning.MethodsThe dataset included 1668 patients with documented b...
Risk Assessment Mammography Humans Breast Female Breast Neoplasms Aged Machine Learning Middle Aged
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An effective COVID-19 classification in X-ray images using a new deep learning framework.

Journal of X-ray science and technology Jan 19, 2025
BackgroundThe global concern regarding the diagnosis of lung-related diseases has intensified due to the rapid transmission of coronavirus disease 2019 (COVID-19). Artificial Intelligence (AI) based methods are emerging technologies that help to iden...
Classification Algorithms Deep Learning Humans Radiography, Thoracic COVID-19
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DML-MFCM: A multimodal fine-grained classification model based on deep metric learning for Alzheimer's disease diagnosis.

Journal of X-ray science and technology Jan 13, 2025
BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative disorder. There are no drugs and methods for the treatment of AD, but early intervention can delay the deterioration of the disease. Therefore, the early diagnosis of AD and mild cognitive i...
Brain Female Male Deep Learning Aged Humans Alzheimer Disease Cognitive Dysfunction Magnetic Resonance Imaging
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