Using arm-span instead of height in functional respiratory tests interpretation Source: International Congress 2019 – Quality, performance and interpretation of lung function testing Year: 2019
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
New, effective method to calculate parameters of respiratory system model used to interpret transfer impedance data Source: Eur Respir J 2003; 22: Suppl. 45, 98s Year: 2003
Pulmonologists collaborate with explainable artificial intelligence for superior interpretation of pulmonary function tests Source: Virtual Congress 2021 – Digital health interventions in respiratory medicine Year: 2021
Current clinical methods of measurement of respiratory rate give imprecise values Source: ERJ Open Res, 6 (3) 00023-2020; 10.1183/23120541.00023-2020 Year: 2020
Developing a new ultrasonic method to assess diaphragm movement and comparing the accuracy with existing methods. Source: International Congress 2017 – Respiratory muscles: evaluation and pathophysiology Year: 2017
Evaluation of a method for respiratory muscle function testing Source: Annual Congress 2007 - Lung function and therapy in obstructive lung diseases Year: 2007
Comparison of predicted lung function values estimating height from alternative methods Source: Annual Congress 2008 - Beyond spirometry: the skills behind lung function testing Year: 2008
Passive respiratory mechanics: the occlusion techniques Source: Eur Respir J 2001; 17: 141-148 Year: 2001
Influence of different selection criteria on the assessment of respiratory muscle strength Source: Annual Congress 2010 - Advances in lung function I Year: 2010
New uses of data: from big data to artificial intelligence and clinical decision tools in children with respiratory diseases Source: Virtual Congress 2021 – New technologies for the management of children with respiratory diseases Year: 2021
Variation in measurement results of maximal inspiratory muscle strength testing Source: Annual Congress 2010 - Respiratory muscles and breathing: assessment and training Year: 2010
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
Recommended approaches to minimize aerosol dispersion of COVID during noninvasive ventilatory support can deteriorate ventilator performances: a benchmark comparative study Source: Virtual Congress 2021 – New trends in non-invasive respiratory support Year: 2021
Comparison of two different methods for assessing inspiratory muscle strength in patients with multiple system atrophy: a pilot study Source: Virtual Congress 2020 – A knowledge update on respiratory muscle function, assessment and training Year: 2020
Inter-test reliability for non-invasive measures of respiratory muscle function Source: Eur Respir J 2002; 20: Suppl. 38, 565s Year: 2002
Respiratory muscle dynamics prediction formulas for inspiration load pressure change Source: International Congress 2017 – Assessment and treatment of respiratory muscle function in respiratory physiotherapy Year: 2017
How can the data derived Bayesian network model help for screening of respiratory diseases? Source: International Congress 2019 – Innovations in primary care assessment and management Year: 2019
Technical problems with functional measurements: instruments, parameters, standardization of the methods, reference values Source: ERS Skills course - Biomarkers and functional assessment of obstructive lung diseases Year: 2017