Background COVID-19-induced pneumonia has become a persistent health concern, with
severe cases posing a significant threat to patient lives. However, the potential of artificial …

Severe COVID-19 can lead to extensive lung disease causing lung architectural distortion.
In this study we employed machine learning and statistical atlas-based approaches to …

Comparing a family structure to a company, one can often think of parents as leaders and
adolescents as employees. Stressful family environments and anxiety levels, depression …

Coronavirus disease 2019 (COVID-19), is an ongoing issue in certain populations,
presenting rapidly worsening pneumonia and persistent symptoms. This study aimed to test …

In the realm of medical diagnostics, the utilization of deep learning techniques, notably in the
context of radiology images, has emerged as a transformative force. The significance of …

Data-driven approaches have achieved great success in various medical image analysis
tasks. However, fully-supervised data-driven approaches require unprecedentedly large …

Objetivo Comparar el impacto pronóstico de la extensión de la enfermedad pulmonar en
tomografía computarizada (TC) valorada de forma visual por un radiólogo experto y de …

A cluster of cases caused by the virus SARS-CoV-2 was detected in Wuhan, China, in
December 2019. The disease derived from that virus was named Coronavirus (COVID-19) …

Purpose: Artificial intelligence (AI) techniques have been extensively utilized for diagnosing
and prognosis of several diseases in recent years. This study identifies, appraises and …

In recent decades, many infectious diseases have appeared that have negatively affected
life in general and people in particular, causing many economic and human losses …