AIMC Topic: Spirometry

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Detection and staging of chronic obstructive pulmonary disease using a computed tomography-based weakly supervised deep learning approach.

European radiology Feb 24, 2022
OBJECTIVES: Chronic obstructive pulmonary disease (COPD) is underdiagnosed globally. The present study aimed to develop weakly supervised deep learning (DL) models that utilize computed tomography (CT) image data for the automated detection and stagi...
Pulmonary Disease, Chronic Obstructive Disease Progression Deep Learning Spirometry Humans Retrospective Studies Tomography, X-Ray Computed
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A Machine-Learning Model for Lung Age Forecasting by Analyzing Exhalations.

Sensors (Basel, Switzerland) Feb 1, 2022
Spirometers are important devices for following up patients with respiratory diseases. These are mainly located only at hospitals, with all the disadvantages that this can entail. This limits their use and consequently, the supervision of patients. R...
Humans Machine Learning Algorithms Female Aged Lung Adolescent Child, Preschool Spirometry Exhalation Young Adult Adult Male Middle Aged
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Non-Contact Spirometry Using a Mobile Thermal Camera and AI Regression.

Sensors (Basel, Switzerland) Nov 15, 2021
Non-contact physiological measurements have been under investigation for many years, and among these measurements is non-contact spirometry, which could provide acute and chronic pulmonary disease monitoring and diagnosis. This work presents a feasib...
Humans Artificial Intelligence Respiration Spirometry Exhalation Respiratory Rate
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Machine learning associated with respiratory oscillometry: a computer-aided diagnosis system for the detection of respiratory abnormalities in systemic sclerosis.

Biomedical engineering online Mar 25, 2021
INTRODUCTION: The use of machine learning (ML) methods would improve the diagnosis of respiratory changes in systemic sclerosis (SSc). This paper evaluates the performance of several ML algorithms associated with the respiratory oscillometry analysis...
Humans Female Aged Young Adult Adult Male Artificial Intelligence Machine Learning Algorithms Computers Biometry Middle Aged Scleroderma, Systemic Diagnosis, Computer-Assisted Oscillometry Respiration Disorders Adolescent Spirometry
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Deep-learning algorithm helps to standardise ATS/ERS spirometric acceptability and usability criteria.

The European respiratory journal Dec 17, 2020
RATIONALE: While American Thoracic Society (ATS)/European Respiratory Society (ERS) quality control criteria for spirometry include several quantitative limits, it also requires manual visual inspection. The current approach is time consuming and lea...
Forced Expiratory Volume Spirometry Exhalation Vital Capacity Humans Algorithms Deep Learning United States
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Deep neural network analyses of spirometry for structural phenotyping of chronic obstructive pulmonary disease.

JCI insight Jul 9, 2020
BACKGROUNDCurrently recommended traditional spirometry outputs do not reflect the relative contributions of emphysema and airway disease to airflow obstruction. We hypothesized that machine-learning algorithms can be trained on spirometry data to ide...
Adult Pulmonary Disease, Chronic Obstructive Male Middle Aged Smoking Respiratory Function Tests Spirometry Lung Pulmonary Emphysema Humans Neural Networks, Computer Female Aged
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An Individualized Prediction Model for Long-term Lung Function Trajectory and Risk of COPD in the General Population.

Chest Sep 19, 2019
BACKGROUND: Prediction of future lung function will enable the identification of individuals at high risk of developing COPD, but the trajectory of lung function decline varies greatly among individuals. This study involved the development and valida...
Leukocyte Count Vital Capacity Bronchodilator Agents Serum Globulins Humans Machine Learning Algorithms Female Alkaline Phosphatase Male Hematocrit Aging Dyspnea Middle Aged Spirometry Sex Factors Longitudinal Studies Risk Assessment Body Height Adult Triglycerides Cough Age Factors Lung Pulmonary Disease, Chronic Obstructive Forced Expiratory Volume Serum Albumin Cohort Studies Electrocardiography Cigarette Smoking Alcohol Drinking
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Respiratory Sound Based Classification of Chronic Obstructive Pulmonary Disease: a Risk Stratification Approach in Machine Learning Paradigm.

Journal of medical systems Jun 28, 2019
This article investigates the classification of normal and COPD subjects on the basis of respiratory sound analysis using machine learning techniques. Thirty COPD and 25 healthy subject data are recorded. Total of 39 lung sound features and 3 spirome...
Vital Capacity Respiratory Sounds Logistic Models Support Vector Machine Forced Expiratory Volume Spirometry Humans Sensitivity and Specificity Female Machine Learning Male Pulmonary Disease, Chronic Obstructive Algorithms Risk Assessment
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Diagnostic value of spirometry vs impulse oscillometry: A comparative study in children with sickle cell disease.

Pediatric pulmonology Jun 18, 2019
BACKGROUND: Spirometry is conventionally used to diagnose airway diseases in children with sickle cell disease (C-SCD). However, spirometry is difficult for younger children to perform, is effort dependent, and it provides limited information on resp...
Respiratory Mechanics Vital Capacity Bronchodilator Agents Lung Oscillometry Case-Control Studies Retrospective Studies Humans ROC Curve Adolescent Machine Learning Female Anemia, Sickle Cell Child, Preschool Asthma Child Respiratory Function Tests Male Spirometry
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Predicting forced vital capacity (FVC) using support vector regression (SVR).

Physiological measurement Mar 1, 2019
OBJECTIVE: Spirometry, as the gold standard approach in the diagnosis of chronic obstructive pulmonary disease (COPD), has strict end of test (EOT) criteria (e.g. complete exhalation), which cannot be met by patients with compromised health states. T...
Vital Capacity Humans Support Vector Machine Female Models, Statistical Male Regression Analysis Middle Aged Spirometry
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