AIMC Topic: Solitary Pulmonary Nodule
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Automated system for lung nodules classification based on wavelet feature descriptor and support vector machine.
Biomedical engineering online
Feb 12, 2015
BACKGROUND: Lung cancer is a leading cause of death worldwide; it refers to the uncontrolled growth of abnormal cells in the lung. A computed tomography (CT) scan of the thorax is the most sensitive method for detecting cancerous lung nodules. A lung...
Support Vector Machine
Solitary Pulmonary Nodule
Area Under Curve
Radiographic Image Interpretation, Computer-Assisted
Referral and Consultation
Automation
Pattern Recognition, Automated
Wavelet Analysis
Humans
Algorithms
Tomography, X-Ray Computed
Sensitivity and Specificity
ROC Curve
Imaging, Three-Dimensional
Incidental Findings
Lung Neoplasms
Application of a pulmonary nodule detection program using AI technology to ultra-low-dose CT: differences in detection ability among various image reconstruction methods.
Japanese journal of radiology
Aug 1, 2025
PURPOSE: This study aimed to investigate the performance of an artificial intelligence (AI)-based lung nodule detection program in ultra-low-dose CT (ULDCT) imaging, with a focus on the influence of various image reconstruction methods on detection a...
Artificial intelligence applications for the diagnosis of pulmonary nodules.
Current opinion in pulmonary medicine
Jul 1, 2025
PURPOSE OF REVIEW: This review evaluates the role of artificial intelligence (AI) in diagnosing solitary pulmonary nodules (SPNs), focusing on clinical applications and limitations in pulmonary medicine. It explores AI's utility in imaging and blood/...
Deep learning reconstruction improves computer-aided pulmonary nodule detection and measurement accuracy for ultra-low-dose chest CT.
BMC medical imaging
May 30, 2025
PURPOSE: To compare the image quality and pulmonary nodule detectability and measurement accuracy between deep learning reconstruction (DLR) and hybrid iterative reconstruction (HIR) of chest ultra-low-dose CT (ULDCT).
Application of artificial intelligence medical imaging aided diagnosis system in the diagnosis of pulmonary nodules.
BMC medical informatics and decision making
May 14, 2025
The application of artificial intelligence (AI) technology has realized the transformation of people's production and lifestyle, and also promoted the rapid development of the medical field. At present, the application of intelligence in the medical ...
Artificial intelligence-based automated matching of pulmonary nodules on follow-up chest CT.
European radiology experimental
May 2, 2025
BACKGROUND: The growing demand for follow-up imaging highlights the need for tools supporting the assessment of pulmonary nodules over time. We evaluated the performance of an artificial intelligence (AI)-based system for automated nodule matching.
Deep Learning-Based Computer-Aided Diagnosis in Coronary Artery Calcium-Scoring CT for Pulmonary Nodule Detection: A Preliminary Study.
Yonsei medical journal
Apr 1, 2025
PURPOSE: To evaluate the feasibility and utility of deep learning-based computer-aided diagnosis (DL-CAD) for the detection of pulmonary nodules on coronary artery calcium (CAC)-scoring computed tomography (CT).
Performance of Lung Cancer Prediction Models for Screening-detected, Incidental, and Biopsied Pulmonary Nodules.
Radiology. Artificial intelligence
Mar 1, 2025
Purpose To evaluate the performance of eight lung cancer prediction models on patient cohorts with screening-detected, incidentally detected, and bronchoscopically biopsied pulmonary nodules. Materials and Methods This study retrospectively evaluated...
Lightweight Lung-nodule Detection Model Combined with Multidimensional Attention Convolution.
Current medical imaging
Jan 1, 2025
BACKGROUND: Early and timely detection of pulmonary nodules and initiation treatment can substantially improve the survival rate of lung carcinoma. However, current detection methods based on convolutional neural networks (CNNs) cannot easily detect ...
Phantom evaluation of feasibility and applicability of artificial intelligence based pulmonary nodule detection in chest radiographs.
Medicine
Nov 22, 2024
The aim of our study was to evaluate the specific performance of an artificial intelligence (AI) algorithm for lung nodule detection in chest radiography for a larger number of nodules of different sizes and densities using a standardized phantom app...
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