Explaining predictions of an automated pulmonary function test interpretation algorithm Source: International Congress 2019 – M-health/e-health I Year: 2019
Introduction of a new approach to interpret pulmonary function tests (PFT) based on Machine learning and Game theory Source: International Congress 2019 – Assessment and management of immune-mediated interstitial lung diseases Year: 2019
Spirometry fundamentals: a computer-based guide to lung function testing Source: Eur Respir J 2006; 28: Suppl. 50, 740s Year: 2006
Asthma phenotypes determined by a novel fluctuation based clustering method using a time window of lung function observations Source: International Congress 2015 – Understanding paediatric asthma and allergy: genetics and environment Year: 2015
Decision tree models as a classifier of endothelial function based on strength, pulmonary and cardiac function in COPD: Preliminary analysis. Source: Virtual Congress 2020 – Tapas of respiratory physiotherapy Year: 2020
The effect of adopting new GLI-2012 spirometric reference values on airflow limitation GOLD classification Source: International Congress 2015 – Lung function: waiting to exhale... Year: 2015
Artificial intelligence outperforms pulmonologists in the interpretation of pulmonary function tests Source: Eur Respir J, 53 (4) 1801660; 10.1183/13993003.01660-2018 Year: 2019
Adopting universal lung function reference equations Source: Eur Respir J 2013; 42: 901-903 Year: 2013
The value of spirometry to diagnose a restrictive pattern Source: Annual Congress 2013 –Expiration, exhalation and exhaustion: measures of dynamic volumes, breath analysis and respiratory muscles Year: 2013
A standardized tool to assess quality of MBW tracings Source: International Congress 2015 – Respiratory physiology in children: technical and clinical aspects Year: 2015
Choosing and using lung function prediction equations Source: Eur Respir J 2016; 48: 1535-1537 Year: 2016
Comparison of regression models for developing spirometric reference values Source: International Congress 2016 – Functional assessment of the airways Year: 2016
Workstation 3 - Spirometry - how to perform a spirometic test, implementing safety measures, selecting the best values and simulating errors Source: Annual Congress 2013 –Educational skills workshop 7: Spirometry knowledge and basic skills (European spirometry training programme) Year: 2013
The airspace dimension test – A new way to diagnose emphysema? Source: International Congress 2014 – Lung function testing: new findings and new approaches Year: 2014
Association of texture-based quantitative fibrotic patterns and pulmonary function test in a new validation set Source: Annual Congress 2011 - Functional lung and pulmonary arterial imaging Year: 2011
Comparison of two different pulmonary function test (PFT) interpretive strategies? Source: International Congress 2014 – Lung function testing: new findings and new approaches Year: 2014
Biologic quality control variability among pulmonary function testing systems in a large academic outpatient pulmonary function laboratory Source: Annual Congress 2013 –Expiration, exhalation and exhaustion: measures of dynamic volumes, breath analysis and respiratory muscles Year: 2013
Improvement of quality of spirometric measurements after analysis of errors detected by spirometric software Source: Annual Congress 2013 –Expiration, exhalation and exhaustion: measures of dynamic volumes, breath analysis and respiratory muscles Year: 2013
LATE-BREAKING ABSTRACT: Artificial intelligence to improve the diagnostic power of complete pulmonary function tests Source: International Congress 2016 – The best is yet to come in terms of lung function Year: 2016
Differences in functional impairment diagnosis using global lung initiative (GLI) predictive values for spirometry Source: International Congress 2014 – The impact of the Global Lung Initiative (GLI) reference equations and spirometry quality in all ages Year: 2014