AIMC Topic: Tomography, X-Ray Computed

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Impact of deep learning reconstruction on radiation dose reduction and cancer risk in CT examinations: a real-world clinical analysis.

European radiology Nov 29, 2024
PURPOSE: The purpose of this study is to estimate the extent to which the implementation of deep learning reconstruction (DLR) may reduce the risk of radiation-induced cancer from CT examinations, utilizing real-world clinical data.
Humans Retrospective Studies Middle Aged Deep Learning Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Female Risk Factors Radiation Dosage Aged Propensity Score Adult Neoplasms, Radiation-Induced Male
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MediLite3DNet: A lightweight network for segmentation of nasopharyngeal airways.

Medical & biological engineering & computing Nov 29, 2024
The precise segmentation and three-dimensional reconstruction of the nasopharyngeal airway are crucial for the diagnosis and treatment of adenoid hypertrophy in children. However, traditional methods face challenges such as information loss and low c...
Image Processing, Computer-Assisted Nasopharynx Adenoids Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed Child Imaging, Three-Dimensional
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Evaluation and comparison of synthetic computed tomography algorithms with 3T MRI for prostate radiotherapy: AI-based versus bulk density method.

Journal of applied clinical medical physics Nov 29, 2024
PURPOSE: Synthetic computed tomography (sCT)-algorithms, which generate computed tomography images from magnetic resonance imaging data, are becoming part of the clinical radiotherapy workflow. The aim of this retrospective study was to evaluate and ...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Artificial Intelligence Algorithms Image Processing, Computer-Assisted Magnetic Resonance Imaging Prostatic Neoplasms Retrospective Studies Organs at Risk Tomography, X-Ray Computed Male
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AI-powered techniques in anatomical imaging: Impacts on veterinary diagnostics and surgery.

Annals of anatomy = Anatomischer Anzeiger : official organ of the Anatomische Gesellschaft Nov 29, 2024
BACKGROUND: Artificial intelligence (AI) is rapidly transforming veterinary diagnostic imaging, offering improved accuracy, speed, and efficiency in analyzing complex anatomical structures. AI-powered systems, including deep learning and convolutiona...
Neural Networks, Computer Artificial Intelligence Tomography, X-Ray Computed Diagnostic Imaging Veterinary Medicine Animals Deep Learning Image Processing, Computer-Assisted
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How reliable is artificial intelligence in the diagnosis of cholesteatoma on CT images?

American journal of otolaryngology Nov 28, 2024
PURPOSE: This study analysed the main artificial intelligence (AI) models for the diagnosis of cholesteatoma on computed tomography (CT), evaluating their performance and comparing them with each other. The increasing application of AI in radiology r...
Reproducibility of Results Humans Sensitivity and Specificity Artificial Intelligence Cholesteatoma, Middle Ear Tomography, X-Ray Computed
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UrologiQ: AI-based accurate detection, measurement and reporting of stones in CT-KUB scans.

Urolithiasis Nov 28, 2024
Kidney stone disease is becoming increasingly common worldwide, with its prevalence increasing annually across all age groups, races, and geographic regions. This sharp increase may be due to significant changes in dietary habits. Early and accurate ...
Kidney Calculi Humans Artificial Intelligence Tomography, X-Ray Computed
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External validation and performance analysis of a deep learning-based model for the detection of intracranial hemorrhage.

The neuroradiology journal Nov 27, 2024
PurposeWe aimed to investigate the external validation and performance of an FDA-approved deep learning model in labeling intracranial hemorrhage (ICH) cases on a real-world heterogeneous clinical dataset. Furthermore, we delved deeper into evaluatin...
Female Risk Factors Aged Humans Prospective Studies Middle Aged Adult Tomography, X-Ray Computed Deep Learning Predictive Value of Tests Sensitivity and Specificity Intracranial Hemorrhages Male
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Predicting Survival and Recurrence of Lung Ablation Patients Using Deep Learning-Based Automatic Segmentation and Radiomics Analysis.

Cardiovascular and interventional radiology Nov 27, 2024
PURPOSE: To predict survival and tumor recurrence following image-guided thermal ablation (IGTA) of lung tumors segmented using a deep learning approach.
Humans Retrospective Studies Tomography, X-Ray Computed Female Aged Surgery, Computer-Assisted Lung Neoplasm Recurrence, Local Radiomics Deep Learning Ablation Techniques Male Lung Neoplasms Middle Aged
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Artificial intelligence measured 3D lumbosacral body composition and clinical outcomes in rectal cancer patients.

ANZ journal of surgery Nov 27, 2024
INTRODUCTION: Patient body composition (BC) has been shown to help predict clinical outcomes in rectal cancer patients. Artificial intelligence algorithms have allowed for easier acquisition of BC measurements, creating a comprehensive BC profile in ...
Body Composition Rectal Neoplasms Lumbosacral Region Cross-Sectional Studies Male Middle Aged Imaging, Three-Dimensional Humans Female Artificial Intelligence Treatment Outcome Aged Retrospective Studies Neoadjuvant Therapy Adult Tomography, X-Ray Computed
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A multimodal dental dataset facilitating machine learning research and clinic services.

Scientific data Nov 27, 2024
Oral diseases affect nearly 3.5 billion people, and medical resources are limited, which makes access to oral health services nontrivial. Imaging-based machine learning technology is one of the most promising technologies to improve oral medical serv...
Tomography, X-Ray Computed Humans Machine Learning
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