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
Artificial intelligence for pulmonary function test interpretation Source: Eur Respir J, 53 (6) 1900782; 10.1183/13993003.00782-2019 Year: 2019
Artificial intelligence for pulmonary function test interpretation Source: Eur Respir J, 53 (6) 1900638; 10.1183/13993003.00638-2019 Year: 2019
Artificial intelligence improves experts in reading pulmonary function tests Source: International Congress 2018 – The importance of the pulmonary function test in different clinical settings Year: 2018
No need for pulmonologists to interpret pulmonary function tests Source: Eur Respir J, 54 (1) 1900829; 10.1183/13993003.00829-2019 Year: 2019
Artificial intelligence in the clinic: possible roles for pulmonary rehabilitation tests Source: Virtual Congress 2021 – Digital health in respiratory medicine: opportunities for everyone Year: 2021
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
Late Breaking Abstract - Applying artificial intelligence on pulmonary function tests improves the diagnostic accuracy Source: International Congress 2017 – Best abstracts in lung function Year: 2017
Artificial intelligence in pulmonary medicine: computer vision, predictive model and COVID-19 Source: Eur Respir Rev, 29 (157) 200181; 10.1183/16000617.0181-2020 Year: 2020
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
Rapid tests of cognition and praxis can be used to identify subjects who are unlikely to be able to perform spirometry Source: Eur Respir J 2006; 28: Suppl. 50, 278s Year: 2006
Explaining predictions of an automated pulmonary function test interpretation algorithm Source: International Congress 2019 – M-health/e-health I Year: 2019
How to share the results of pulmonary function testing with clinicians? Source: Eur Respir J 2006; 28: Suppl. 50, 863s Year: 2006
Interpreting pulmonary function tests Source: Breathe 2009; 6: 102-110 Year: 2009
Better time management of a lung function laboratory by avoiding redundant ”routinely“ performed reversibility spirometry tests Source: Eur Respir J 2003; 22: Suppl. 45, 147s Year: 2003
Artificial intelligence in pulmonary medicine Source: Virtual Congress 2021 – Scientific year in review Year: 2021
Can recursive partitioning empirically derive a pulmonary function test interpretive algorithm Source: International Congress 2015 – New developments in medical education, web and internet Year: 2015
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
Pulmonary function tests in clinical practice Source: Annual Congress 2013 –PG17 Diagnostic tests for paediatric pulmonologists Year: 2013