Among the high prevalence of cerebrovascular diseases nowadays, acute ischemic stroke
stands out, representing a significant worldwide health issue with important socio-economic …

Artificial intelligence (AI) is rapidly transforming healthcare, and one of its most promising
applications is in the diagnosis and treatment of diseases. AI algorithms can analyze vast …

Healthcare organizations have realized that Artificial intelligence (AI) can provide a
competitive edge through personalized patient experiences, improved patient outcomes …

Stroke is one of the most common and debilitating neurological conditions worldwide. Those
who survive experience motor, sensory, speech, vision, and/or cognitive deficits that …

Artificial intelligence (AI) is a rapidly growing field that has shown promise in nearly every
subspecialty of radiology. AI algorithms have great potential to impact the radiologist's …

ABSTRACT BACKGROUND AND PURPOSE: Considering recent iodinated contrast media
(ICM) shortages, this study compared reduced ICM and standard dose CTP acquisitions …

Intracerebral hemorrhage (ICH) is a severe cerebrovascular disorder that poses a life-
threatening risk, necessitating swift diagnosis and treatment. While CT scans are the most …

Predicting outcomes after mechanical thrombectomy (MT) remains challenging for patients
with acute ischemic stroke (AIS). This study aimed to explore the usefulness of machine …

Objective Radiomics is a machine-learning method which extracts features from medical
images. The objective of the present systematic review was to assess the quality of existing …

Cerebrovascular accidents (CVAs) often occur suddenly and abruptly, leaving patients with
long-lasting disabilities that place a huge emotional and economic burden on everyone …