AIMC Topic: Tomography, X-Ray Computed
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Development and validation of a deep learning model for predicting gastric cancer recurrence based on CT imaging: a multicenter study.
International journal of surgery (London, England)
Dec 1, 2024
INTRODUCTION: The postoperative recurrence of gastric cancer (GC) has a significant impact on the overall prognosis of patients. Therefore, accurately predicting the postoperative recurrence of GC is crucial.
External validation of the performance of commercially available deep-learning-based lung nodule detection on low-dose CT images for lung cancer screening in Japan.
Japanese journal of radiology
Nov 30, 2024
PURPOSE: Artificial intelligence (AI) algorithms for lung nodule detection have been developed to assist radiologists. However, external validation of its performance on low-dose CT (LDCT) images is insufficient. We examined the performance of the co...
Middle Aged
Lung
Deep Learning
Solitary Pulmonary Nodule
Early Detection of Cancer
Lung Neoplasms
Multiple Pulmonary Nodules
Aged, 80 and over
Sensitivity and Specificity
Male
Tomography, X-Ray Computed
Radiographic Image Interpretation, Computer-Assisted
Humans
Female
Japan
Aged
Radiation Dosage
Retrospective Studies
BMSMM-Net: A Bone Metastasis Segmentation Framework Based on Mamba and Multiperspective Extraction.
Academic radiology
Nov 30, 2024
RATIONALE AND OBJECTIVES: Metastatic bone tumors significantly reduce patients' quality of life and expedite cancer spread. Traditional diagnostic methods rely on time-consuming manual annotations by radiologists, which are prone to subjectivity. Emp...
Predicting sinonasal inverted papilloma attachment using machine learning: Current lessons and future directions.
American journal of otolaryngology
Nov 30, 2024
BACKGROUND: Hyperostosis is a common radiographic feature of inverted papilloma (IP) tumor origin on computed tomography (CT). Herein, we developed a machine learning (ML) model capable of analyzing CT images and identifying IP attachment sites.
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.
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...
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 ...
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...
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...
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 ...
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