AIMC Topic: Respiratory Function Tests
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Artificial intelligence for pulmonary function test interpretation.
The European respiratory journal
Jun 5, 2019
Artificial intelligence for pulmonary function test interpretation.
The European respiratory journal
Jun 5, 2019
An ensemble learning method for asthma control level detection with leveraging medical knowledge-based classifier and supervised learning.
Journal of medical systems
Apr 26, 2019
Approximately 300 million people are afflicted with asthma around the world, with the estimated death rate of 250,000 cases, indicating the significance of this disease. If not treated, it can turn into a serious public health problem. The best metho...
Artificial intelligence outperforms pulmonologists in the interpretation of pulmonary function tests.
The European respiratory journal
Apr 11, 2019
The interpretation of pulmonary function tests (PFTs) to diagnose respiratory diseases is built on expert opinion that relies on the recognition of patterns and the clinical context for detection of specific diseases. In this study, we aimed to explo...
Machine vision analysis on abnormal respiratory conditions of mice inhaling particles containing cadmium.
Ecotoxicology and environmental safety
Dec 18, 2018
Inhalable environmental toxicants can induce pulmonary malfunction resulting abnormal respiratory conditions. The traditional methods currently available to detect the respiratory condition of animals rely on differential pressure transducers and sig...
Correlation of the modified Medical Research Council dyspnea scale with airway structure assessed by three-dimensional CT in patients with chronic obstructive pulmonary disease.
Respiratory medicine
Dec 12, 2018
BACKGROUND: Dyspnea is a common symptom in chronic obstructive pulmonary disease (COPD). The modified Medical Research Council (mMRC) dyspnea scale is a widely used questionnaire to assess dyspnea. However, the relationship of the mMRC dyspnea scale ...
Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net.
Medical image analysis
Oct 19, 2018
We propose a novel airway segmentation method in volumetric chest computed tomography (CT) and evaluate its performance on multiple datasets. The segmentation is performed voxel-by-voxel by a 2.5D convolutional neural net (2.5D CNN) trained in a supe...
Prognostication and Risk Factors for Cystic Fibrosis via Automated Machine Learning.
Scientific reports
Jul 26, 2018
Accurate prediction of survival for cystic fibrosis (CF) patients is instrumental in establishing the optimal timing for referring patients with terminal respiratory failure for lung transplantation (LT). Current practice considers referring patients...
R-100 improves pulmonary function and systemic fluid balance in sheep with combined smoke-inhalation injury and Pseudomonas aeruginosa sepsis.
Journal of translational medicine
Dec 28, 2017
BACKGROUND: Septic shock is a major cause of death in intensive care units around the world . The aim of the study was to investigate whether the novel drug R-100 (a superoxide degradation catalyst and nitric oxide donor) improves pulmonary function ...
Radiologic and Functional Analysis of Compensatory Lung Growth After Living-Donor Lobectomy.
The Annals of thoracic surgery
Dec 19, 2017
BACKGROUND: Whether compensatory lung growth occurs in adult humans is controversial. The aim of this study was to confirm compensatory lung growth by analyzing ipsilateral residual lung after lower lobectomy in living lung transplant donors with qua...
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