A5041893462- Respiratory and Cough-Related Research
- Voice and Speech Disorders
- COVID-19 diagnosis using AI
- Respiratory viral infections research
- Anomaly Detection Techniques and Applications
- Asthma and respiratory diseases
- Music and Audio Processing
- Phonocardiography and Auscultation Techniques
- COVID-19 Digital Contact Tracing
University of Oklahoma
2024
Kharkiv National Medical University
2020-2022
ICF International (United States)
2020
Background: The inability to test at scale has become humanity's Achille's heel in the ongoing war against COVID-19 pandemic. A scalable screening tool would be a game changer. Building on prior work cough-based diagnosis of respiratory diseases, we propose, develop and an Artificial Intelligence (AI)-powered solution for infection that is deployable via smartphone app. app, named AI4COVID-19 records sends three 3-second cough sounds AI engine running cloud, returns result within two...
Cough acoustics contain multitudes of vital information about pathomorphological alterations in the respiratory system. Reliable and accurate detection cough events by investigating underlying latent features disease diagnosis can play an indispensable role revitalizing healthcare practices. The recent application Artificial Intelligence (AI) advances ubiquitous computing for prediction has created auspicious trend myriad future possibilities medical domain. In particular, there is...
Emerging wireless technologies, such as 5G and beyond, are bringing new use cases to the forefront, one of most prominent being machine learning empowered health care. One notable modern medical concerns that impose an immense worldwide burden respiratory infections. Since cough is essential symptom many infections, automated system screen for diseases based on raw data would have a multitude beneficial research applications. In literature, has already been successfully used detect events in...
The emergence of pandemics poses a persistent threat to both global health and economic stability. While zoonotic spillovers local outbreaks may not be fully preventable, early detection infections in individuals before they spread communities can make major difference containing an infectious disease stopping it from becoming epidemic then pandemic. In this paper, we propose novel Artificial Intelligence (AI)-based pandemic prediction framework called iPREDICT–a concept designed leverage...
Cough acoustics contain multitudes of vital information about pathomorphological alterations in the respiratory system. Reliable and accurate detection cough events by investigating underlying latent features disease diagnosis can play an indispensable role revitalizing healthcare practices. The recent application Artificial Intelligence (AI) advances ubiquitous computing for prediction has created auspicious trend myriad future possibilities medical domain. In particular, there is...