Drug resistant tuberculosis: Implications for transmission, diagnosis, and disease management
D Liebenberg, BG Gordhan, BD Kana - Frontiers in cellular and …, 2022 - frontiersin.org
Drug resistant tuberculosis contributes significantly to the global burden of antimicrobial
resistance, often consuming a large proportion of the healthcare budget and associated …
resistance, often consuming a large proportion of the healthcare budget and associated …
[HTML][HTML] Towards using cough for respiratory disease diagnosis by leveraging Artificial Intelligence: A survey
Cough acoustics contain multitudes of vital information about pathomorphological
alterations in the respiratory system. Reliable and accurate detection of cough events by …
alterations in the respiratory system. Reliable and accurate detection of cough events by …
COVID-19 cough classification using machine learning and global smartphone recordings
We present a machine learning based COVID-19 cough classifier which can discriminate
COVID-19 positive coughs from both COVID-19 negative and healthy coughs recorded on a …
COVID-19 positive coughs from both COVID-19 negative and healthy coughs recorded on a …
COVID-19 detection in cough, breath and speech using deep transfer learning and bottleneck features
We present an experimental investigation into the effectiveness of transfer learning and
bottleneck feature extraction in detecting COVID-19 from audio recordings of cough, breath …
bottleneck feature extraction in detecting COVID-19 from audio recordings of cough, breath …
Reimagining the status quo: How close are we to rapid sputum-free tuberculosis diagnostics for all?
RR Nathavitharana, AL Garcia-Basteiro, M Ruhwald… - …, 2022 - thelancet.com
Rapid, accurate, sputum-free tests for tuberculosis (TB) triage and confirmation are urgently
needed to close the widening diagnostic gap. We summarise key technologies and review …
needed to close the widening diagnostic gap. We summarise key technologies and review …
Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review
The growing and aging of the world population have driven the shortage of medical
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …
TBscreen: A passive cough classifier for tuberculosis screening with a controlled dataset
Recent respiratory disease screening studies suggest promising performance of cough
classifiers, but potential biases in model training and dataset quality preclude robust …
classifiers, but potential biases in model training and dataset quality preclude robust …
Making cough count in tuberculosis care
AJ Zimmer, C Ugarte-Gil, R Pathri, P Dewan… - Communications …, 2022 - nature.com
Cough assessment is central to the clinical management of respiratory diseases, including
tuberculosis (TB), but strategies to objectively and unobtrusively measure cough are lacking …
tuberculosis (TB), but strategies to objectively and unobtrusively measure cough are lacking …
Diagnosing tuberculosis: what do new technologies allow us to (not) do?
New tuberculosis (TB) diagnostics are at a crossroads: their development, evaluation, and
implementation is severely damaged by resource diversion due to COVID-19. Yet several …
implementation is severely damaged by resource diversion due to COVID-19. Yet several …
Development and clinical validation of Swaasa AI platform for screening and prioritization of pulmonary TB
GD Yellapu, G Rudraraju, NR Sripada, B Mamidgi… - Scientific reports, 2023 - nature.com
Acoustic signal analysis has been employed in various medical devices. However, studies
involving cough sound analysis to screen the potential pulmonary tuberculosis (PTB) …
involving cough sound analysis to screen the potential pulmonary tuberculosis (PTB) …