AIMC Topic: Tomography, X-Ray Computed
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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...
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...
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)...
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...
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...
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.
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...
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...
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.
FA-Net: A hierarchical feature fusion and interactive attention-based network for dose prediction in liver cancer patients.
Artificial intelligence in medicine
Aug 18, 2024
Dose prediction is a crucial step in automated radiotherapy planning for liver cancer. Several deep learning-based approaches for dose prediction have been proposed to enhance the design efficiency and quality of radiotherapy plan. However, these app...
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