AIMC Topic: Respiratory Function Tests

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Machine-Learning-Based Computed Tomography Radiomics Regression Model for Predicting Pulmonary Function.

Academic radiology Apr 10, 2025
RATIONALE AND OBJECTIVES: Chest computed tomography (CT) radiomics can be utilized for categorical predictions; however, models predicting pulmonary function indices directly are lacking. This study aimed to develop machine-learning-based regression ...
Tomography, X-Ray Computed Female Aged Adult Humans Machine Learning Retrospective Studies Regression Analysis Forced Expiratory Volume Radiographic Image Interpretation, Computer-Assisted Respiratory Function Tests Vital Capacity Radiomics Male Middle Aged Lung
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Automated AI-based image analysis for quantification and prediction of interstitial lung disease in systemic sclerosis patients.

Respiratory research Jan 24, 2025
BACKGROUND: Systemic sclerosis (SSc) is a rare connective tissue disease associated with rapidly evolving interstitial lung disease (ILD), driving its mortality. Specific imaging-based biomarkers associated with the evolution of lung disease are need...
Scleroderma, Systemic Adult Male Middle Aged Lung Cohort Studies Predictive Value of Tests Lung Diseases, Interstitial Respiratory Function Tests Retrospective Studies Tomography, X-Ray Computed Female Aged Humans Artificial Intelligence
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Assessing the Clinical and Functional Status of COPD Patients Using Speech Analysis During and After Exacerbation.

International journal of chronic obstructive pulmonary disease Jan 20, 2025
BACKGROUND: Chronic obstructive pulmonary disease (COPD) affects breathing, speech production, and coughing. We evaluated a machine learning analysis of speech for classifying the disease severity of COPD.
Pulmonary Disease, Chronic Obstructive Male Middle Aged Disease Progression Prognosis Female Reproducibility of Results Aged Support Vector Machine Predictive Value of Tests Functional Status Respiratory Function Tests Speech Acoustics Lung Severity of Illness Index Speech Time Factors Humans Prospective Studies Speech Production Measurement Voice Quality
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Prognostic value of a composite physiologic index developed by adding bronchial and hyperlucent volumes quantified via artificial intelligence technology.

Respiratory research Dec 24, 2024
BACKGROUND: The composite physiologic index (CPI) was developed to estimate the extent of interstitial lung disease (ILD) in idiopathic pulmonary fibrosis (IPF) patients based on pulmonary function tests (PFTs). The CALIPER-revised version of the CPI...
Middle Aged Cohort Studies Idiopathic Pulmonary Fibrosis Lung Diseases, Interstitial Respiratory Function Tests Bronchi Tomography, X-Ray Computed Female Aged Male Humans Artificial Intelligence Prognosis Retrospective Studies
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Improving functional correlation of quantification of interstitial lung disease by reducing the vendor difference of CT using generative adversarial network (GAN) style conversion.

European journal of radiology Dec 22, 2024
OBJECTIVE: To assess whether CT style conversion between different CT vendors using a routable generative adversarial network (RouteGAN) could minimize variation in ILD quantification, resulting in improved functional correlation of quantitative CT (...
Male Middle Aged Lung Deep Learning Lung Diseases, Interstitial Respiratory Function Tests Generative Adversarial Networks Idiopathic Pulmonary Fibrosis Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Female Reproducibility of Results Aged Humans Retrospective Studies
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BreathVisionNet: A pulmonary-function-guided CNN-transformer hybrid model for expiratory CT image synthesis.

Computer methods and programs in biomedicine Nov 14, 2024
BACKGROUND AND OBJECTIVE: Chronic obstructive pulmonary disease (COPD) has high heterogeneity in etiologies and clinical manifestations. Expiratory Computed tomography (CT) can effectively assess air trapping, aiding in disease diagnosis. However, du...
Pulmonary Disease, Chronic Obstructive Lung Image Processing, Computer-Assisted Respiratory Function Tests Humans Exhalation Neural Networks, Computer Algorithms Tomography, X-Ray Computed
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Impact of upper extremity robotic rehabilitation on respiratory parameters, functional capacity and dyspnea in patients with stroke: a randomized controlled study.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology Nov 11, 2024
BACKGROUND: Stroke leads to reduced mobility and functional capacity, also negatively affects respiratory functions and muscle strength.
Adolescent Treatment Outcome Muscle Strength Robotics Stroke Dyspnea Respiratory Function Tests Upper Extremity Young Adult Adult Male Middle Aged Humans Female Aged Stroke Rehabilitation Respiratory Muscles
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Using 3D point cloud and graph-based neural networks to improve the estimation of pulmonary function tests from chest CT.

Computers in biology and medicine Sep 27, 2024
Pulmonary function tests (PFTs) are important clinical metrics to measure the severity of interstitial lung disease for systemic sclerosis patients. However, PFTs cannot always be performed by spirometry if there is a risk of disease transmission or ...
Lung Imaging, Three-Dimensional Respiratory Function Tests Humans Neural Networks, Computer Tomography, X-Ray Computed Female Adult Male Middle Aged
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Advancements in automated classification of chronic obstructive pulmonary disease based on computed tomography imaging features through deep learning approaches.

Respiratory medicine Sep 18, 2024
Chronic Obstructive Pulmonary Disease (COPD) represents a global public health issue that significantly impairs patients' quality of life and overall health. As one of the primary causes of chronic respiratory diseases and global mortality, effective...
Tomography, X-Ray Computed Pulmonary Disease, Chronic Obstructive Deep Learning Respiratory Function Tests Humans
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Artificial Intelligence-Driven Prognosis of Respiratory Mechanics: Forecasting Tissue Hysteresivity Using Long Short-Term Memory and Continuous Sensor Data.

Sensors (Basel, Switzerland) Aug 27, 2024
Tissue hysteresivity is an important marker for determining the onset and progression of respiratory diseases, calculated from forced oscillation lung function test data. This study aims to reduce the number and duration of required measurements by c...
Respiratory Mechanics Humans Artificial Intelligence Algorithms Electrocardiography Prognosis Monitoring, Physiologic Heart Rate Respiratory Function Tests
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