Artificial intelligence in diagnosis of obstructive lung disease: current status and future potential
N Das, M Topalovic, W Janssens - Current opinion in pulmonary …, 2018 - journals.lww.com
Artificial intelligence in diagnosis of obstructive lung dis... : Current Opinion in Pulmonary
Medicine Artificial intelligence in diagnosis of obstructive lung disease: current status and future …
Medicine Artificial intelligence in diagnosis of obstructive lung disease: current status and future …
[HTML][HTML] Simplifying the complex: accessible microfluidic solutions for contemporary processes within in vitro diagnostics
In vitro diagnostics (IVDs) form the cornerstone of modern medicine. They are routinely
employed throughout the entire treatment pathway, from initial diagnosis through to …
employed throughout the entire treatment pathway, from initial diagnosis through to …
Evolution of clinical and environmental health applications of exhaled breath research: Review of methods and instrumentation for gas-phase, condensate, and …
MAG Wallace, JD Pleil - Analytica Chimica Acta, 2018 - Elsevier
Human breath, along with urine and blood, has long been one of the three major biological
media for assessing human health and environmental exposure. In fact, the detection of …
media for assessing human health and environmental exposure. In fact, the detection of …
Automated detection of airflow obstructive diseases: a systematic review of the last decade (2013-2022)
Abstract Background and Objective Obstructive airway diseases, including asthma and
Chronic Obstructive Pulmonary Disease (COPD), are two of the most common chronic …
Chronic Obstructive Pulmonary Disease (COPD), are two of the most common chronic …
[HTML][HTML] Convolutional neural network classification of exhaled aerosol images for diagnosis of obstructive respiratory diseases
Aerosols exhaled from the lungs have distinctive patterns that can be linked to the
abnormalities of the lungs. Yet, due to their intricate nature, it is highly challenging to …
abnormalities of the lungs. Yet, due to their intricate nature, it is highly challenging to …
Aiding airway obstruction diagnosis with computational fluid dynamics and convolutional neural network: A new perspective and numerical case study
It is challenging to locate small-airway obstructions induced by chronic obstructive
pulmonary disease (COPD) directly from visualization using available medical imaging …
pulmonary disease (COPD) directly from visualization using available medical imaging …
Diagnosis of COPD based on a knowledge graph and integrated model
Y Fang, H Wang, L Wang, R Di, Y Song - IEEE Access, 2019 - ieeexplore.ieee.org
Chronic obstructive pulmonary disease (COPD) is a chronic lung disease that causes a
progressive decline in respiratory function. Diagnosing COPD in the early curable stages is …
progressive decline in respiratory function. Diagnosing COPD in the early curable stages is …
[HTML][HTML] Correlating exhaled aerosol images to small airway obstructive diseases: A study with dynamic mode decomposition and machine learning
Background Exhaled aerosols from lungs have unique patterns, and their variation can be
correlated to the underlying lung structure and associated abnormities. However, it is …
correlated to the underlying lung structure and associated abnormities. However, it is …
[HTML][HTML] Evaluation of impulse oscillometry in respiratory airway casts with varying obstruction phenotypes, locations, and complexities
The use of impulse oscillometry (IOS) for lung function testing does not need patient
cooperation and has gained increasing popularity among both young and senior …
cooperation and has gained increasing popularity among both young and senior …
[HTML][HTML] Data-driven discovery of anomaly-sensitive parameters from uvula wake flows using wavelet analyses and Poincaré maps
This study presents a data-driven approach to identifying anomaly-sensitive parameters
through a multiscale, multifaceted analysis of simulated respiratory flows. The anomalies …
through a multiscale, multifaceted analysis of simulated respiratory flows. The anomalies …