AIMC Topic: Lung Diseases, Obstructive

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Correlating exhaled aerosol images to small airway obstructive diseases: A study with dynamic mode decomposition and machine learning.

PloS one Jan 31, 2019
BACKGROUND: Exhaled aerosols from lungs have unique patterns, and their variation can be correlated to the underlying lung structure and associated abnormities. However, it is challenging to characterize such aerosol patterns and differentiate their ...
Humans Machine Learning Algorithms Prognosis Tomography, X-Ray Computed Male Middle Aged Image Processing, Computer-Assisted Support Vector Machine Principal Component Analysis Aerosols Breath Tests Exhalation Lung Diseases, Obstructive
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Artificial intelligence in diagnosis of obstructive lung disease: current status and future potential.

Current opinion in pulmonary medicine Mar 1, 2018
PURPOSE OF REVIEW: The application of artificial intelligence in the diagnosis of obstructive lung diseases is an exciting phenomenon. Artificial intelligence algorithms work by finding patterns in data obtained from diagnostic tests, which can be us...
Humans Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms Tomography, X-Ray Computed Diagnosis, Computer-Assisted Pattern Recognition, Automated Respiratory Function Tests Breath Tests Respiratory Sounds Lung Diseases, Obstructive
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