Abstract Machine learning methods offer great promise for fast and accurate detection and
prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care chest …

The novel coronavirus disease, COVID-19, has rapidly and abruptly changed the world as
we knew it in 2020. It has become the most unprecedented challenge to analytic …

Rationale: Prognostic tools for aiding in the treatment of hospitalized COVID-19 patients
could help improve outcome by identifying patients at higher or lower risk of severe disease …

Before the recent success of deep learning methods for automated medical image analysis,
practitioners used handcrafted radiomic features to quantitatively describe local patches of …

Early prediction of COVID-19 mortality outcome can decrease expiration risk by alerting
healthcare personnel to assure efficient resource allocation and treatment planning. This …

Automatic vertebral osteophyte recognition in Digital Radiography is of great importance for
the early prediction of degenerative disease but is still a challenge because of the tiny size …

The novel Coronavirus disease, COVID-19, has rapidly and abruptly changed the world as
we knew in 2020. It becomes the most unprecedent challenge to analytic epidemiology in …

Objective The main objective of this study is to analyze the severity of coronavirus disease
2019 (COVID-19) among patients with diabetes mellitus using glycosylated hemoglobin …

Chest X-ray imaging has become increasingly crucial for diagnosing various medical
conditions, including pneumonia, lung cancer, and heart diseases. Despite the growing …

Objetivo: Determinar la severidad de neumonía por COVID-19 mediante el escore de
extensión porcentual tomográfico en el centro de imágenes de diagnóstico CIMEDIC de …