AIMC Topic: Lung
Clear Filters Showing 861 to 870 of 984 articles
The Promise of Quantitative Computed Tomographic Analysis in Assessing Progression of Interstitial Lung Abnormalities and Emphysema in Smokers.
American journal of respiratory and critical care medicine
Sep 15, 2023
Deep Learning Assessment of Progression of Emphysema and Fibrotic Interstitial Lung Abnormality.
American journal of respiratory and critical care medicine
Sep 15, 2023
Although studies have evaluated emphysema and fibrotic interstitial lung abnormality individually, less is known about their combined progression. To define clinically meaningful progression of fibrotic interstitial lung abnormality in smokers with...
Natural Language Processing for the Identification of Incidental Lung Nodules in Computed Tomography Reports: A Quality Control Tool.
JCO global oncology
Sep 1, 2023
PURPOSE: To evaluate the diagnostic performance of a natural language processing (NLP) model in detecting incidental lung nodules (ILNs) in unstructured chest computed tomography (CT) reports.
If Only We Had a Time Machine: Prior CT in Deep Learning for Lung Nodule Prognostication.
Radiology
Aug 1, 2023
Uniportal Robotic Lung Resection Techniques.
Thoracic surgery clinics
Aug 1, 2023
Uniportal video-assisted thoracic surgical (U-VATS) and telerobotic techniques have become widely adopted strategies for lung resection and represent a natural progression born of advancing technologic innovation and decades of expanding clinical exp...
Deep-Masker: A Deep Learning-based Tool to Assess Chord Length from Murine Lung Images.
American journal of respiratory cell and molecular biology
Aug 1, 2023
Chord length is an indirect measure of alveolar size and a critical endpoint in animal models of chronic obstructive pulmonary disease (COPD). In assessing chord length, the lumens of nonalveolar structures are eliminated from measurement by various ...
Deep learning based reconstruction enables high-resolution electrical impedance tomography for lung function assessment.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2023
Recently, deep learning based methods have shown potential as alternative approaches for lung time difference electrical impedance tomography (tdEIT) reconstruction other than traditional regularized least square methods, that have inherent severe il...
Predicting Future Lung Cancer Risk from a Single Low-Dose CT Using Deep Learning.
Radiology. Imaging cancer
May 1, 2023
Artificial Intelligence Solution for Chest Radiographs in Respiratory Outpatient Clinics: Multicenter Prospective Randomized Clinical Trial.
Annals of the American Thoracic Society
May 1, 2023
Artificial intelligence (AI)-assisted diagnosis imparts high accuracy to chest radiography (CXR) interpretation; however, its benefit for nonradiologist physicians in detecting lung lesions on CXR remains unclear. To investigate whether AI assistan...
[Deep Learning-driven Pulmonary Nodule Detection from CT Images: Challenges, Current Status and Future Directions].
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Feb 8, 2023
Automatic detection of pulmonary nodule based on CT images can significantly improve the diagnosis and treatment of lung cancer. Based on the characteristics of CT image and pulmonary nodule, this study summarizes the challenges and recent progresses...
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