Deep learning diagnostic and risk-stratification pattern detection for COVID-19 in digital lung auscultations: clinical protocol for a case–control and prospective cohort study

Deep learning diagnostic and risk-stratification pattern detection for COVID-19 in digital lung auscultations: clinical protocol for a case–control and prospective cohort study

Abstract Background Lung auscultation is fundamental to the clinical diagnosis of respiratory disease. However, auscultation is a subjective practice and interpretations vary widely between users. The digitization of auscultation acquisition and interpretation is a particularly promising strategy fo...

Full description

Bibliographic Details
Main Authors: Alban Glangetas, Mary-Anne Hartley, Aymeric Cantais, Delphine S. Courvoisier, David Rivollet, Deeksha M. Shama, Alexandre Perez, Hervé Spechbach, Véronique Trombert, Stéphane Bourquin, Martin Jaggi, Constance Barazzone-Argiroffo, Alain Gervaix, Johan N. Siebert
Format: Article
Language:English
Published: BMC 2021-03-01
Series:BMC Pulmonary Medicine
Subjects:
COVID-19
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Deep learning
Artificial intelligence
Respiratory sounds
Auscultation
Online Access:https://doi.org/10.1186/s12890-021-01467-w

Internet

https://doi.org/10.1186/s12890-021-01467-w

Similar Items