Introduction: Radiological assessment is necessary to diagnose spontaneous intracerebral hemorrhage (ICH) and traumatic brain injury intracranial hemorrhage (TBI-bleed). Artificial intelligence (AI) deep learning tools provide a means for decision support. This study evaluates the hemorrhage segmentations produced from three-dimensional deep learning AI model that was developed using non-contrast computed tomography (CT) imaging data external to the current study.
View Article and Find Full Text PDFBackground In acute intracerebral hemorrhage, both elevated blood pressure (BP) and antithrombotic treatment are associated with poor outcome. Our aim was to explore interactions between antithrombotic treatment and prehospital BP. Methods and Results This observational, retrospective study included adult patients with spontaneous intracerebral hemorrhage diagnosed by computed tomography within 24 hours, admitted to a primary stroke center during 2012 to 2019.
View Article and Find Full Text PDFBackground: High blood pressure (BP) is associated with poor outcome in acute spontaneous intracerebral hemorrhage. Little is known about the predictive value of prehospital BP in intracerebral hemorrhage. We aimed to investigate the relationship between prehospital BP and clinical and radiological outcomes.
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