Project Title: Digital Monitoring for screening, diagnosis, and clinical follow up of Tuberculosis and respiratory diseases in low resource countries
Project Description: Cough is common and simply an obvious sign of respiratory illness such as flu, cold, bacterial pneumonia, and tuberculosis (TB), However, it remains a challenge to detect, monitoring and classify cough in order to improve respiratory diseases surveillance and clinical management in resource limited settings. This study proposes to assess the ability of digital cough monitoring and artificial intelligence models to I. Classify cough events to screen for and potentially diagnose TB II. Detect cough... Cough is common and simply an obvious sign of respiratory illness such as flu, cold, bacterial pneumonia, and tuberculosis (TB), However, it remains a challenge to detect, monitoring and classify cough in order to improve respiratory diseases surveillance and clinical management in resource limited settings. This study proposes to assess the ability of digital cough monitoring and artificial intelligence models to I. Classify cough events to screen for and potentially diagnose TB II. Detect cough events to remotely track clinical evolution of TB The digital Cough Monitoring study (DCMS) combines artificial intelligence (AI) algorithms and Acoustic monitoring technology using innovative smartphone-based hyfe365 applications. The research project intended to test the diagnostic accuracy of hyfe365 app in the screening and diagnosis of Pulmonary TB as well as the clinical follow-up and prediction of treatment outcomes among confirmed Pulmonary TB cases in resource-limited settings. We anticipate that the project will provide operational and technical performance data on the use of smartphones for digital cough classification and monitoring, and artificial intelligence for cough analysis in clinical screening, diagnosis, and management of TB in resource-limited settings.
Principal Investigator : Issa Lyimo
Department Name :
Time frame: (2021-05-13) - (2023-04-30)
University of Montreal Hospital centre (CHUM) (Normal)
External Collaborating Partners
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