Using artificial intelligence-based models to predict the risk of mucormycosis among COVID-19 survivors: An experience from a public hospital in India.

Introduction: India reported a severe public health challenge not only due to the COVID-19 outbreak but also the increasing number of associated mucormycosis cases since 2021.This study aimed at developing artificial intelligence based models to predict the risk of mucormycosis among the patients at the time of discharge from hospital.

Methods: The dataset included of 1229 COVID-19 positive patients, and additional 214 inpatients, COVID-19 positive as well as infected with mucormycosis.

Telemedicine in Your Pocket: An Alternative Teleconsultation Tool in a Pandemic and in Resource-Poor Settings.

Owing to the coronavirus disease 2019 (COVID-19) pandemic, digitalization is booming in all sectors, including health care. This study provides evidence of using a social networking mobile app as a telemedicine tool during the pandemic in India. The data include telemedicine conversations of 318 COVID-19 patients who were consulted over WhatsApp during the period March 31 to April 16, 2021, and monitored during a quarantine period of 17 days.