AIMC Topic: Lung Diseases

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New perspectives on the use of artificial intelligence in the ultrasound evaluation of lung diseases.

Journal of ultrasound Feb 5, 2024
Lung Ultrasonography Lung Diseases Humans Artificial Intelligence
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Hyperpolarized Gas Imaging in Lung Diseases: Functional and Artificial Intelligence Perspective.

Academic radiology Jan 16, 2024
Pathophysiologic changes in lung diseases are often accompanied by changes in ventilation and gas exchange. Comprehensive evaluation of lung function cannot be obtained through chest X-ray and computed tomography. Proton-based lung MRI is particularl...
Administration, Inhalation Humans Xenon Isotopes Artificial Intelligence Magnetic Resonance Imaging Lung Diseases
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Can adverse childhood experiences predict chronic health conditions? Development of trauma-informed, explainable machine learning models.

Frontiers in public health Jan 15, 2024
INTRODUCTION: Decades of research have established the association between adverse childhood experiences (ACEs) and adult onset of chronic diseases, influenced by health behaviors and social determinants of health (SDoH). Machine Learning (ML) is a p...
Lung Diseases Diabetes Mellitus Adult Myocardial Infarction Chronic Disease Adverse Childhood Experiences Bayes Theorem Humans Blood Glucose Machine Learning
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Real-time counting of wheezing events from lung sounds using deep learning algorithms: Implications for disease prediction and early intervention.

PloS one Nov 20, 2023
This pioneering study aims to revolutionize self-symptom management and telemedicine-based remote monitoring through the development of a real-time wheeze counting algorithm. Leveraging a novel approach that includes the detailed labeling of one brea...
Neural Networks, Computer Algorithms Humans Lung Diseases Respiratory Sounds Deep Learning Child
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An Artificial Intelligence Platform for the Radiologic Diagnosis of Pulmonary Sarcoidosis: An Initial Pilot Study of Chest Computed Tomography Analysis to Distinguish Pulmonary Sarcoidosis from a Negative Lung Cancer Screening Scan.

Lung Nov 14, 2023
PURPOSE: To determine the reliability of an artificial intelligence, deep learning (AI/DL)-based method of chest computer tomography (CT) scan analysis to distinguish pulmonary sarcoidosis from negative lung cancer screening chest CT scans (Lung Imag...
Reproducibility of Results Deep Learning Artificial Intelligence Tomography, X-Ray Computed Early Detection of Cancer Sarcoidosis Lung Diseases Pilot Projects Lung Neoplasms Humans Sarcoidosis, Pulmonary
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Multi-class deep learning architecture for classifying lung diseases from chest X-Ray and CT images.

Scientific reports Nov 8, 2023
Medical imaging is considered a suitable alternative testing method for the detection of lung diseases. Many researchers have been working to develop various detection methods that have aided in the prevention of lung diseases. To better understand t...
Radiography Lung Diseases X-Rays Tomography, X-Ray Computed Deep Learning Humans
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Testing the performance, adequacy, and applicability of an artificial intelligence model for pediatric pneumonia diagnosis.

Computer methods and programs in biomedicine Sep 9, 2023
BACKGROUND: Community-acquired Pneumonia (CAP) is a common childhood infectious disease. Deep learning models show promise in X-ray interpretation and diagnosis, but their validation should be extended due to limitations in the current validation wor...
Child Pneumonia Lung Diseases Bayes Theorem Artificial Intelligence Deep Learning Humans Neural Networks, Computer
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Effectiveness of deep learning reconstruction on standard to ultra-low-dose high-definition chest CT images.

Japanese journal of radiology Jul 27, 2023
PURPOSE: Deep learning reconstruction (DLR) has been introduced by major vendors, tested for CT examinations of a variety of organs, and compared with other reconstruction methods. The purpose of this study was to compare the capabilities of DLR for ...
Lung Deep Learning Lung Diseases Algorithms Humans Radiation Dosage Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed
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Collaboration between explainable artificial intelligence and pulmonologists improves the accuracy of pulmonary function test interpretation.

The European respiratory journal May 18, 2023
BACKGROUND: Few studies have investigated the collaborative potential between artificial intelligence (AI) and pulmonologists for diagnosing pulmonary disease. We hypothesised that the collaboration between a pulmonologist and AI with explanations (e...
Humans Lung Diseases Respiratory Function Tests Artificial Intelligence Pulmonologists
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Deep learning to estimate lung disease mortality from chest radiographs.

Nature communications May 16, 2023
Prevention and management of chronic lung diseases (asthma, lung cancer, etc.) are of great importance. While tests are available for reliable diagnosis, accurate identification of those who will develop severe morbidity/mortality is currently limite...
Thorax Lung Diseases Radiography, Thoracic Lung Deep Learning Humans
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