Artificial intelligence (AI) broadly refers to machines that simulate intelligent human
behavior, and research into this field is exponential and worldwide, with global players such …

Background: The use of artificial intelligence (AI) in health care has grown exponentially with
the promise of facilitating biomedical research and enhancing diagnosis, treatment …

Background and purpose Glioblastoma is a highly aggressive brain tumor with limited
survival that poses challenges in predicting patient outcomes. The Karnofsky Performance …

Resumen La Unión Europea está liderando a nivel global la regulación legal de la
inteligencia artificial (IA) y desarrollando una importante actividad legislativa, entre la que …

Transjugular intrahepatic portosystemic shunt (TIPS) is an essential procedure for the
treatment of portal hypertension but can result in hepatic encephalopathy (HE), a serious …

BACKGROUND AND PURPOSE: MS is a chronic progressive, idiopathic, demyelinating
disorder whose diagnosis is contingent on the interpretation of MR imaging. New MR …

Accurate image interpretation is essential in the field of radiology to the healthcare team in
order to provide optimal patient care. This article discusses the use of artificial intelligence …

ABSTRACT BACKGROUND AND PURPOSE: Privacy concerns, such as identifiable facial
features within brain scans, have hindered the availability of pediatric neuroimaging …

Purpose This study aimed to develop and evaluate a machine learning model and a novel
clinical score for predicting outcomes in stroke patients undergoing endovascular …

ABSTRACT BACKGROUND AND PURPOSE: Intracranial steno-occlusive lesions are
responsible for acute ischemic stroke. However, the clinical benefits of artificial intelligence …