AIMC Topic: Lung

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Deep learning reconstruction for zero echo time lung magnetic resonance imaging: impact on image quality and lesion detection.

Clinical radiology Jul 17, 2024
AIMS: This study aimed to examine the impact of deep-learning reconstruction (DLR) on zero echo time (ZTE) lung MRI.
Deep Learning Lung Neoplasms Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Phantoms, Imaging Male Middle Aged Lung Female Aged Adult Retrospective Studies Tomography, X-Ray Computed Humans
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Model based on the automated AI-driven CT quantification is effective for the diagnosis of refractory Mycoplasma pneumoniae pneumonia.

Scientific reports Jul 13, 2024
The prediction of refractory Mycoplasma pneumoniae pneumonia (RMPP) remains a clinically significant challenge. This study aimed to develop an early predictive model utilizing artificial intelligence (AI)-derived quantitative assessment of lung lesio...
Humans Artificial Intelligence Female Male Lung China Prospective Studies Retrospective Studies Tomography, X-Ray Computed ROC Curve Pneumonia, Mycoplasma Adolescent Mycoplasma pneumoniae Child, Preschool Child
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Applications of artificial intelligence in computed tomography imaging for phenotyping pulmonary hypertension.

Current opinion in pulmonary medicine Jul 9, 2024
PURPOSE OF REVIEW: Pulmonary hypertension is a heterogeneous condition with significant morbidity and mortality. Computer tomography (CT) plays a central role in determining the phenotype of pulmonary hypertension, informing treatment strategies. Man...
Artificial Intelligence Phenotype Tomography, X-Ray Computed Hypertension, Pulmonary Lung Pulmonary Embolism Humans
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Probing perfection: The relentless art of meddling for pulmonary airway segmentation from HRCT via a human-AI collaboration based active learning method.

Artificial intelligence in medicine Jul 9, 2024
In the realm of pulmonary tracheal segmentation, the scarcity of annotated data stands as a prevalent pain point in most medical segmentation endeavors. Concurrently, most Deep Learning (DL) methodologies employed in this domain invariably grapple wi...
Image Processing, Computer-Assisted Trachea Tomography, X-Ray Computed Lung Deep Learning Humans Artificial Intelligence
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A deep learning-based model to estimate pulmonary function from chest x-rays: multi-institutional model development and validation study in Japan.

The Lancet. Digital health Jul 8, 2024
BACKGROUND: Chest x-ray is a basic, cost-effective, and widely available imaging method that is used for static assessments of organic diseases and anatomical abnormalities, but its ability to estimate dynamic measurements such as pulmonary function ...
Adult Male Humans Radiography, Thoracic Deep Learning Spirometry Middle Aged Retrospective Studies Respiratory Function Tests Forced Expiratory Volume Vital Capacity Lung Female Japan Aged
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Comparison of lung ultrasound assisted by artificial intelligence to radiology examination in pneumothorax.

Journal of clinical ultrasound : JCU Jun 29, 2024
BACKGROUND: Lung ultrasound can evaluate for pneumothorax but the accuracy of diagnosis depends on experience among physicians. This study aimed to investigate the sensitivity and specificity of intelligent lung ultrasound in comparison with chest x-...
Humans Pneumothorax Artificial Intelligence Lung Prospective Studies Ultrasonography Adult Tomography, X-Ray Computed Male Radiography, Thoracic Sensitivity and Specificity Female Middle Aged Aged
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Learning and depicting lobe-based radiomics feature for COPD Severity staging in low-dose CT images.

BMC pulmonary medicine Jun 24, 2024
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a prevalent and debilitating respiratory condition that imposes a significant healthcare burden worldwide. Accurate staging of COPD severity is crucial for patient management and treatment p...
Humans Neural Networks, Computer Middle Aged Lung Severity of Illness Index Support Vector Machine Radiomics Retrospective Studies Aged Male Tomography, X-Ray Computed Pulmonary Disease, Chronic Obstructive Female
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Enhancing semantic segmentation in chest X-ray images through image preprocessing: ps-KDE for pixel-wise substitution by kernel density estimation.

PloS one Jun 24, 2024
BACKGROUND: In medical imaging, the integration of deep-learning-based semantic segmentation algorithms with preprocessing techniques can reduce the need for human annotation and advance disease classification. Among established preprocessing techniq...
Semantics Lung Humans Radiography, Thoracic Deep Learning Algorithms Image Processing, Computer-Assisted Clavicle Tomography, X-Ray Computed
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Computer-aided diagnosis of cystic lung diseases using CT scans and deep learning.

Medical physics Jun 22, 2024
BACKGROUND: Auxiliary diagnosis of different types of cystic lung diseases (CLDs) is important in the clinic and is instrumental in facilitating early and specific treatments. Current clinical methods heavily depend on accumulated experience, restric...
Cysts Deep Learning Image Processing, Computer-Assisted Lung Lung Diseases Diagnosis, Computer-Assisted Humans Tomography, X-Ray Computed
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ConvLSNet: A lightweight architecture based on ConvLSTM model for the classification of pulmonary conditions using multichannel lung sound recordings.

Artificial intelligence in medicine Jun 22, 2024
Characterization of lung sounds (LS) is indispensable for diagnosing respiratory pathology. Although conventional neural networks (NNs) have been widely employed for the automatic diagnosis of lung sounds, deep neural networks can potentially be more...
Pulmonary Disease, Chronic Obstructive Asthma Lung Signal Processing, Computer-Assisted Respiratory Sounds Humans Neural Networks, Computer
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