Intracranial aneurysms with subarachnoid hemorrhage lead to high morbidity and mortality.
It is of critical importance to detect aneurysms, identify risk factors of rupture, and predict …

The current increase in the number of publications on the use of artificial intelligence (AI)
technologies in neurosurgery indicates a new trend in clinical neuroscience. The aim of the …

Abstract Machine learning (ML) as a novel approach could help clinicians address the
challenge of accurate stability assessment of unruptured intracranial aneurysms (IAs). We …

Background: Reliable prediction models of subarachnoid hemorrhage (SAH) outcomes are
needed for decision-making of the treatment. SAFIRE score using only four variables is a …

Background Intracranial hemorrhages (ICH) are classified as symptomatic or asymptomatic
according to the presence of clinical deterioration. Here, we aimed to find predictive factors …

Purpose of review To survey the literature around “big data” and “artificial intelligence” use,
its challenges, and examples in clinical and research domains within neurocritical care …

云南地区动脉瘤性蛛网膜下腔出血手术患者的长期结局分析- PMC Back to Top Skip to main
content NIH NLM Logo Access keys NCBI Homepage MyNCBI Homepage Main Content Main …

Увеличение ежегодного числа научных публикаций, посвященных применению
технологий искусственного интеллекта (ИИ) в нейрохирургии, говорит о новом тренде …

Objective To investigate the clinical outcomes of patients with aneurysmal subarachnoid
hemorrhage (aSAH) after surgeries in Yunnan Province. Methods We retrospectively …

AIM To evaluate the relationship between Inflammatory Biomarker Levels and the Modified
Fisher Score in patients with Spontaneous Subarachnoid Haemorrhage at the …