e-learning
resources
Virtual 2020
Tuesday, 08.09.2020
Digital technologies in airway diseases
Login
Search all ERS
e-learning
resources
Disease Areas
Airways Diseases
Interstitial Lung Diseases
Respiratory Critical Care
Respiratory Infections
Paediatric Respiratory Diseases
Pulmonary Vascular Diseases
Sleep and Breathing Disorders
Thoracic Oncology
Events
International Congress
Courses
Webinars
Conferences
Research Seminars
Journal Clubs
Publications
Breathe
Monograph
ERJ
ERJ Open Research
ERR
European Lung White Book
Handbook Series
Guidelines
All ERS guidelines
e-learning
CME Online
Case reports
Short Videos
SpirXpert
Procedure Videos
CME tests
Reference Database of Respiratory Sounds
Radiology Image Challenge
Brief tobacco interventions
EU Projects
VALUE-Dx
ERN-LUNG
ECRAID
UNITE4TB
Disease Areas
Events
Publications
Guidelines
e-learning
EU Projects
Login
Search
Late Breaking Abstract - Accuracy of artificial intelligence in detecting pathological breath sounds in children using digital stethoscopes
A. Kevat (Melbourne, Australia), A. Kalirajah (Melbourne, Australia), R. Roseby (Melbourne, Australia)
Source:
Virtual Congress 2020 – Digital technologies in airway diseases
Session:
Digital technologies in airway diseases
Session type:
Oral Presentation
Number:
4798
Disease area:
Paediatric lung diseases
Rating:
You must
login
to grade this presentation.
Share or cite this content
Citations should be made in the following way:
A. Kevat (Melbourne, Australia), A. Kalirajah (Melbourne, Australia), R. Roseby (Melbourne, Australia). Late Breaking Abstract - Accuracy of artificial intelligence in detecting pathological breath sounds in children using digital stethoscopes. 4798
You must
login
to share this Presentation/Article on Twitter, Facebook, LinkedIn or by email.
Member's Comments
No comment yet.
You must
Login
to comment this presentation.
Related content which might interest you:
Clinical profile of Tropical Pulmonary Eosinophilia (TPE) in Bihar, India
Risk factors for persistent wheeze into school age: what is helpful?
Air pollution exposure during pregnancy and infancy and childhood asthma
Related content which might interest you:
Late Breaking Abstract - Performance of artificial intelligence in determining the intensity of abnormal breath sounds in asthma patients.
Source: Virtual Congress 2021 – Deep phenotyping of obstructive diseases for precision medicine
Year: 2021
Late Breaking Abstract - Identifying and phenotyping COVID-19 patients using machine learning on chest x-rays
Source: Virtual Congress 2020 – Covering COVID - the best abstracts
Year: 2020
Late Breaking Abstract - Novel low-cost remote respiratory auscultation device vs. traditional stethoscope
Source: Virtual Congress 2021 – E-health for COVID-19
Year: 2021
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
Late Breaking Abstract - New method for molecular phenotyping of noisy breathing infants
Source: International Congress 2017 – Late-breaking findings in pulmonary diseases
Year: 2017
Late Breaking Abstract - Do face masks cause abnormal gas exchange during exercise testing in children?
Source: Virtual Congress 2021 – Causes and consequences of paediatric respiratory diseases
Year: 2021
Late Breaking Abstract - Digital objective automated feedback on inhalation technique.
Source: International Congress 2018 – Clinical problems in paediatric pulmonology
Year: 2018
A new digital stethophone: bioacoustic analyses of breath sounds recorded from a simple mp3 player
Source: Annual Congress 2007 - Advances in respiratory mechanics
Year: 2007
Late Breaking Abstract - Clinical value of a mandibular movements recording sensor in obstructive sleep apnea diagnosis: a machine learning approach
Source: International Congress 2019 – Pathophysiological aspects of obstructive sleep apnoea from sea level to high altitude
Year: 2019
Late Breaking Abstract - Diagnostic accuracy of a respiratory portable monitor, placed at home for obstructive sleep apnea in Mexican children
Source: International Congress 2019 – Pathophysiological aspects of obstructive sleep apnoea from sea level to high altitude
Year: 2019
Late Breaking Abstract - Technical validation of breath analysis by eNose in disease diagnosis: Tidal breathing vs. vital capacity manoeuvre
Source: International Congress 2019 – Insights into physiological diagnostic services
Year: 2019
Late Breaking Abstract - Monitoring inspiratory effort with a bioimpedance based wireless chest patch
Source: Virtual Congress 2020 – Novel findings in intensive care unit medicine: part 2
Year: 2020
Late Breaking Abstract - Validation of Hexoskin biometric technology to monitor ventilatory responses at rest and during exercise in COPD
Source: International Congress 2017 – Late-breaking findings in asthma and COPD
Year: 2017
Late Breaking Abstract - Capnography for ultimately simple diagnostics of COPD
Source: International Congress 2017 – Innovation in COPD: techniques and facts
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
Late Breaking Abstract - Development and validation of an automated radiomic CT signature for detecting?COVID-19
Source: Virtual Congress 2020 – Covering COVID - the best abstracts
Year: 2020
Diagnostic accuracy of asthma severity grading using machine learning features and lung sounds
Source: International Congress 2018 – Innovations in equipment and their application
Year: 2018
Late Breaking Abstract - Clinical risk, cuff leak test and laryngeal ultrasound based scoring system to predict post-extubation stridor in intensive care unit patients
Source: International Congress 2019 – COPD and other specific entities in intensive care unit medicine
Year: 2019
Automatic wheezing-episode detector using spectrogram analysis of breath sounds
Source: Eur Respir J 2003; 22: Suppl. 45, 446s
Year: 2003
Late Breaking Abstract - Pilot study for a new diagnostic supply process for patients with sleep related breathing disorders
Source: International Congress 2018 – Sleep-disordered breathing: biomarkers and genetics and the role of hypoxia, insomnia, movement disorders and sleep quality
Year: 2018
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking "Accept", you consent to the use of the cookies.
Accept