Artificial Intelligence in Healthcare and COVID-19

Parag Chatterjee works as an Assistant Professor at the Department of Biological Engineering (Area of Informatics) in the University of the Republic (Universidad de la República), Uruguay and also as a Research Professor at National Technological University (Universidad Tecnológica Nacional) in Buenos Aires, Argentina. After graduating in Computer Science from University of Calcutta, India., currently he is working in the field of Internet of Things, especially in the aspects of eHealth, to research on the methodologies for better prevention of cardiometabolic diseases and aging. Chatterjee has authored several scientific papers, published in international journals and presented at international conferences. Senior Researcher, Institute for High Performance Computing and Networking (ICAR), National Research Council of Italy (CNR), Naples, Italy

1. Introduction 2. Technological solutions regarding mental health of frontline healthcare workers during COVID-19 pandemic using artifical intelligence 3. Effective algorithms for solving statistical problems posed by the COVID-19 andemic 4. Artifical intelligence to analyse pharmaceutical interventions for COVID-19 5. Covid-19: artificial intelligence solutions, prediction with country cluster analysis and time series forecasting 6. Graph convolutional networks for pain detection via telehealth 7. The role of social media in the battle against COVID-19 8. De-identification techniques to preserve privacy in medical record 9. Estimation of COVID-19 fatality associated to different SARS-CoV-2 variants 10. Artificial intelligence for segmenting CT chest imaging in the fight of COVID-19