AIMC Topic: Spirometry

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Artificial Intelligence-Based Emphysema Quantification in Routine Chest Computed Tomography: Correlation With Spirometry and Visual Emphysema Grading.

Journal of computer assisted tomography Dec 18, 2023
OBJECTIVE: The aim of the study is to assess the correlation between artificial intelligence (AI)-based low attenuation volume percentage (LAV%) with forced expiratory volume in the first second to forced vital capacity (FEV1/FVC) and visual emphysem...
Humans Artificial Intelligence Retrospective Studies Spirometry Pulmonary Emphysema Radiography, Thoracic Male Middle Aged Severity of Illness Index Forced Expiratory Volume Lung Aged Adult Tomography, X-Ray Computed Female
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Pattern recognition of forced oscillation technique measurement results using deep learning can identify asthmatic patients more accurately than setting reference ranges.

Scientific reports Dec 7, 2023
No official clinical reference values have been established for MostGraph, which measures total respiratory resistance and reactance using the forced oscillation technique, complicating result interpretation. This study aimed to establish a reference...
Humans Asthma Respiratory Function Tests Spirometry Airway Resistance Deep Learning Reference Values
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Spirometry services in England post-pandemic and the potential role of AI support software: a qualitative study of challenges and opportunities.

The British journal of general practice : the journal of the Royal College of General Practitioners Nov 30, 2023
BACKGROUND: Spirometry services to diagnose and monitor lung disease in primary care were identified as a priority in the NHS Long Term Plan, and are restarting post-COVID-19 pandemic in England; however, evidence regarding best practice is limited.
Software Pandemics England Humans Artificial Intelligence Qualitative Research Spirometry
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Deep learning algorithm for visual quality assessment of the spirograms.

Physiological measurement Aug 29, 2023
. The quality of spirometry manoeuvres is crucial for correctly interpreting the values of spirometry parameters. A fundamental guideline for proper quality assessment is the American Thoracic Society and European Respiratory Society (ATS/ERS) Standa...
Algorithms Sensitivity and Specificity United States Spirometry Deep Learning Neural Networks, Computer
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Fractional Dynamics Foster Deep Learning of COPD Stage Prediction.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 19, 2023
Chronic obstructive pulmonary disease (COPD) is one of the leading causes of death worldwide. Current COPD diagnosis (i.e., spirometry) could be unreliable because the test depends on an adequate effort from the tester and testee. Moreover, the early...
Humans Neural Networks, Computer Spirometry Pulmonary Disease, Chronic Obstructive Deep Learning
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Deep Learning-based Approach to Predict Pulmonary Function at Chest CT.

Radiology Feb 14, 2023
Background Low-dose chest CT screening is recommended for smokers with the potential for lung function abnormality, but its role in predicting lung function remains unclear. Purpose To develop a deep learning algorithm to predict pulmonary function w...
Vital Capacity Forced Expiratory Volume Tomography, X-Ray Computed Spirometry Male Lung Deep Learning Humans Middle Aged Retrospective Studies
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Explainable machine learning methods and respiratory oscillometry for the diagnosis of respiratory abnormalities in sarcoidosis.

BMC medical informatics and decision making Oct 20, 2022
BACKGROUND: In this work, we developed many machine learning classifiers to assist in diagnosing respiratory changes associated with sarcoidosis, based on results from the Forced Oscillation Technique (FOT), a non-invasive method used to assess pulmo...
Sarcoidosis Spirometry Oscillometry Machine Learning Humans Support Vector Machine
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Deep Learning for Automatic Upper Airway Obstruction Detection by Analysis of Flow-Volume Curve.

Respiration; international review of thoracic diseases May 12, 2022
BACKGROUND: Due to the similar symptoms of upper airway obstruction to asthma, misdiagnosis is common. Spirometry is a cost-effective screening test for upper airway obstruction and its characteristic patterns involving fixed, variable intrathoracic ...
Spirometry Deep Learning Airway Obstruction Humans Constriction, Pathologic Respiration Disorders Asthma
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Covariate adjustment of spirometric and smoking phenotypes: The potential of neural network models.

PloS one May 11, 2022
To increase power and minimize bias in statistical analyses, quantitative outcomes are often adjusted for precision and confounding variables using standard regression approaches. The outcome is modeled as a linear function of the precision variables...
Spirometry Neural Networks, Computer Phenotype Forced Expiratory Volume Smoking
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Deep learning for spirometry quality assurance with spirometric indices and curves.

Respiratory research Apr 21, 2022
BACKGROUND: Spirometry quality assurance is a challenging task across levels of healthcare tiers, especially in primary care. Deep learning may serve as a support tool for enhancing spirometry quality. We aimed to develop a high accuracy and sensitiv...
Vital Capacity Humans Quality Control Deep Learning Respiratory Function Tests Forced Expiratory Volume Spirometry
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