Globally, there is a substantial unmet need to diagnose various diseases effectively. The
complexity of the different disease mechanisms and underlying symptoms of the patient …

Purpose To assess generalizability of published deep learning (DL) algorithms for radiologic
diagnosis. Materials and Methods In this systematic review, the PubMed database was …

The pandemic of coronavirus disease 2019 (COVID-19) is spreading all over the world.
Medical imaging such as X-ray and computed tomography (CT) plays an essential role in …

Effective screening of SARS-CoV-2 enables quick and efficient diagnosis of COVID-19 and
can mitigate the burden on healthcare systems. Prediction models that combine several …

Artificial intelligence (AI) is being increasingly used to automate and improve technologies
within the field of medical imaging. A critical step in the development of an AI algorithm is …

With the increase of COVID-19 cases worldwide, an effective way is required to diagnose
COVID-19 patients. The primary problem in diagnosing COVID-19 patients is the shortage …

Coronavirus disease 2019 (COVID-19) has spread globally, and medical resources become
insufficient in many regions. Fast diagnosis of COVID-19 and finding high-risk patients with …

Abstract Corona Virus Disease-2019 (COVID-19), caused by Severe Acute Respiratory
Syndrome-Corona Virus-2 (SARS-CoV-2), is a highly contagious disease that has affected …

Objective Science and technology sector constituting of data science, machine learning and
artificial intelligence are contributing towards COVID-19. The aim of the present study is to …

Coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2) is spreading rapidly around the world, resulting in a massive …