Iryna Posokhova

TL;DR: In this paper, an Artificial Intelligence (AI)-powered screening solution for COVID-19 infection that is deployable via a smartphone app is proposed, based on the prior work on cough-based diagnosis of respiratory diseases.

TL;DR: An Artificial Intelligence (AI)-powered screening solution for COVID-19 infection that is deployable via a smartphone app is proposed, developed and test, and results show AI4CO VID-19 can distinguish among COvid-19 coughs and several types of non-COVID- 19 coughs.

TL;DR: This paper presents a low complexity, automated recognition and diagnostic tool for screening respiratory infections that utilizes Convolutional Neural Networks to detect cough within environment audio and diagnose three potential illnesses based on their unique cough audio features.

TL;DR: In this article , a comprehensive overview of the data-driven ML/DL detection and preliminary diagnosis frameworks, along with a detailed list of significant features is presented. And the authors investigate the mechanism that causes cough and the latent cough features of the respiratory modalities.

TL;DR: In this paper, a low complexity, automated recognition and diagnostic tool for screening respiratory infections that utilizes Convolutional Neural Networks (CNNs) to detect cough within environment audio and diagnose three potential illnesses (i.e., bronchitis, bronchiolitis and pertussis) based on their unique cough audio features.