Peer-Reviewed Publication Incheon National University image: Scientists from Korea have proposed a deep learning assisted model to detect overcrowding and crowd behavior in COVID-19-affected cities.

Moving forward, the researchers will conduct a longitudinal human subject study that tracks post-COVID-19 individuals 48 to 60 months after their initial visits to continue building data and ...

Using machine and deep learning, Alibaba built a tool for institutions to forecast the spread of COVID-19, with an alleged 90% accuracy rate.

This team zoomed in on deep-learning models for diagnosing covid and predicting patient risk from medical images, such as chest x-rays and chest computer tomography (CT) scans.