AIMC Topic: Tomography, X-Ray Computed

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Deep learning-based automated liver contouring using a small sample of radiotherapy planning computed tomography images.

Radiography (London, England : 1995) Aug 23, 2024
INTRODUCTION: No study has yet investigated the minimum amount of data required for deep learning-based liver contouring. Therefore, this study aimed to investigate the feasibility of automated liver contouring using limited data.
Radiotherapy Planning, Computer-Assisted Liver Neoplasms Liver Feasibility Studies Humans Tomography, X-Ray Computed Deep Learning
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Incidental pulmonary nodules: Natural language processing analysis of radiology reports.

Respiratory medicine and research Aug 22, 2024
BACKGROUND: Pulmonary nodules are a common incidental finding on chest Computed Tomography scans (CT), most of the time outside of lung cancer screening (LCS). We aimed to evaluate the number of incidental pulmonary nodules (IPN) found in 1 year in o...
Male France Middle Aged Tomography, X-Ray Computed Humans Lung Neoplasms Multiple Pulmonary Nodules Incidental Findings Female Solitary Pulmonary Nodule COVID-19 Aged Natural Language Processing Retrospective Studies
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ACSwinNet: A Deep Learning-Based Rigid Registration Method for Head-Neck CT-CBCT Images in Image-Guided Radiotherapy.

Sensors (Basel, Switzerland) Aug 22, 2024
Accurate and precise rigid registration between head-neck computed tomography (CT) and cone-beam computed tomography (CBCT) images is crucial for correcting setup errors in image-guided radiotherapy (IGRT) for head and neck tumors. However, conventio...
Algorithms Tomography, X-Ray Computed Deep Learning Neck Humans Cone-Beam Computed Tomography Head Image Processing, Computer-Assisted Radiotherapy, Image-Guided Head and Neck Neoplasms
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Artificial intelligence in COPD CT images: identification, staging, and quantitation.

Respiratory research Aug 22, 2024
Chronic obstructive pulmonary disease (COPD) stands as a significant global health challenge, with its intricate pathophysiological manifestations often demanding advanced diagnostic strategies. The recent applications of artificial intelligence (AI)...
Humans Artificial Intelligence Tomography, X-Ray Computed Pulmonary Disease, Chronic Obstructive Severity of Illness Index
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Artificial Intelligence-Based Classification of CT Images Using a Hybrid SpinalZFNet.

Interdisciplinary sciences, computational life sciences Aug 21, 2024
The kidney is an abdominal organ in the human body that supports filtering excess water and waste from the blood. Kidney diseases generally occur due to changes in certain supplements, medical conditions, obesity, and diet, which causes kidney functi...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Kidney Diseases Neural Networks, Computer Artificial Intelligence Algorithms Humans
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Enhanced IDOL segmentation framework using personalized hyperspace learning IDOL.

Medical physics Aug 21, 2024
BACKGROUND: Adaptive radiotherapy (ART) workflows have been increasingly adopted to achieve dose escalation and tissue sparing under shifting anatomic conditions, but the necessity of recontouring and the associated time burden hinders a real-time or...
Humans Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted
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Diagnostic accuracy of chest X-ray and CT using artificial intelligence for osteoporosis: systematic review and meta-analysis.

Journal of bone and mineral metabolism Aug 21, 2024
INTRODUCTION: Artificial intelligence (AI)-based systems using chest images are potentially reliable for diagnosing osteoporosis.
Radiography, Thoracic Osteoporosis Tomography, X-Ray Computed Sensitivity and Specificity Humans Artificial Intelligence
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Fast prediction of personalized abdominal organ doses from CT examinations by radiomics feature-based machine learning models.

Scientific reports Aug 20, 2024
The X-rays emitted during CT scans can increase solid cancer risks by damaging DNA, with the risk tied to patient-specific organ doses. This study aims to establish a new method to predict patient specific abdominal organ doses from CT examinations u...
Monte Carlo Method Radiography, Abdominal Aged Precision Medicine Humans Adult Tomography, X-Ray Computed Machine Learning Radiomics Abdomen Female Software Male Radiation Dosage Middle Aged
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Predicting the risk category of thymoma with machine learning-based computed tomography radiomics signatures and their between-imaging phase differences.

Scientific reports Aug 19, 2024
The aim of this study was to develop a medical imaging and comprehensive stacked learning-based method for predicting high- and low-risk thymoma. A total of 126 patients with thymomas and 5 patients with thymic carcinoma treated at our institution, i...
Machine Learning Algorithms Retrospective Studies Tomography, X-Ray Computed Humans Risk Assessment Nomograms Thymoma Thymus Neoplasms Radiomics Female Male Aged Middle Aged Adult
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Speed and efficiency: evaluating pulmonary nodule detection with AI-enhanced 3D gradient echo imaging.

European radiology Aug 18, 2024
OBJECTIVES: Evaluating the diagnostic feasibility of accelerated pulmonary MR imaging for detection and characterisation of pulmonary nodules with artificial intelligence-aided compressed sensing.
Aged Adult Male Prospective Studies Tomography, X-Ray Computed Female Humans Middle Aged Artificial Intelligence Solitary Pulmonary Nodule Imaging, Three-Dimensional Feasibility Studies Lung Neoplasms Magnetic Resonance Imaging Multiple Pulmonary Nodules
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