AIMC Topic: Lung Diseases
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Clinical performance of automated machine learning: A systematic review.
Annals of the Academy of Medicine, Singapore
Mar 27, 2024
INTRODUCTION: Automated machine learning (autoML) removes technical and technological barriers to building artificial intelligence models. We aimed to summarise the clinical applications of autoML, assess the capabilities of utilised platforms, evalu...
Enhancing pediatric pneumonia diagnosis through masked autoencoders.
Scientific reports
Mar 14, 2024
Pneumonia, an inflammatory lung condition primarily triggered by bacteria, viruses, or fungi, presents distinctive challenges in pediatric cases due to the unique characteristics of the respiratory system and the potential for rapid deterioration. Ti...
PulmoNet: a novel deep learning based pulmonary diseases detection model.
BMC medical imaging
Feb 28, 2024
Pulmonary diseases are various pathological conditions that affect respiratory tissues and organs, making the exchange of gas challenging for animals inhaling and exhaling. It varies from gentle and self-limiting such as the common cold and catarrh, ...
New perspectives on the use of artificial intelligence in the ultrasound evaluation of lung diseases.
Journal of ultrasound
Feb 5, 2024
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...
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...
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...
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...
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...
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...
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