AIMC Topic: Respiratory Function Tests

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Towards Personalized Inhalation Therapy by Correlating Chest CT Imaging and Pulmonary Function Test Features Using Machine Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Inhalation therapy is the predominant method of treatment for a variety of respiratory diseases. The effectiveness of such treatment is dependent on the accuracy of medication delivery. Thus, personalized inhalation therapy wherein inhaler designs ar...
Humans Machine Learning Radiography, Thoracic Respiratory Function Tests Administration, Inhalation Precision Medicine Tomography, X-Ray Computed
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Deep learning using multilayer perception improves the diagnostic acumen of spirometry: a single-centre Canadian study.

BMJ open respiratory research Dec 1, 2022
RATIONALE: Spirometry and plethysmography are the gold standard pulmonary function tests (PFT) for diagnosis and management of lung disease. Due to the inaccessibility of plethysmography, spirometry is often used alone but this leads to missed or mis...
Spirometry Perception Canada Humans Respiratory Function Tests Deep Learning
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Improving Detection of Early Chronic Obstructive Pulmonary Disease.

Annals of the American Thoracic Society Dec 1, 2018
Despite being a major cause of morbidity and mortality, chronic obstructive pulmonary disease (COPD) is frequently undiagnosed. Yet the burden of disease among the undiagnosed is significant, as these individuals experience symptoms, exacerbations, a...
Spirometry Sensitivity and Specificity Disease Progression Risk Factors Early Diagnosis Pulmonary Disease, Chronic Obstructive Lung Respiratory Function Tests Pulmonary Emphysema Humans Tomography, X-Ray Computed
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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...
Artificial Intelligence Machine Learning Humans Neural Networks, Computer Diagnosis, Computer-Assisted Pattern Recognition, Automated Algorithms Tomography, X-Ray Computed Respiratory Sounds Lung Diseases, Obstructive Respiratory Function Tests Breath Tests
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Disease Staging and Prognosis in Smokers Using Deep Learning in Chest Computed Tomography.

American journal of respiratory and critical care medicine Jan 15, 2018
RATIONALE: Deep learning is a powerful tool that may allow for improved outcome prediction.
Respiratory Distress Syndrome Predictive Value of Tests Smoking Respiratory Function Tests Deep Learning Logistic Models Risk Assessment Severity of Illness Index Survival Rate Pulmonary Disease, Chronic Obstructive Humans Male Databases, Factual Middle Aged Female Prognosis Aged Tomography, X-Ray Computed
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A mobile platform for automated screening of asthma and chronic obstructive pulmonary disease.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Chronic Obstructive Pulmonary Disease (COPD) and asthma each represent a large proportion of the global disease burden; COPD is the third leading cause of death worldwide and asthma is one of the most prevalent chronic diseases, afflicting over 300 m...
Respiratory Function Tests Stethoscopes Logistic Models Mass Screening ROC Curve Humans Smartphone Asthma Surveys and Questionnaires Algorithms Pulmonary Disease, Chronic Obstructive
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