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Updated: May 11, 2026

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使用多模式神经网络预测自发性脑内出血中血瘤扩张的预测

Satoru Tanioka1,2, Orhun Utku Aydin3, Adam Hilbert3

  • 1Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Charitéplatz 1, 101117, Berlin, Germany. satoru.tanioka.ns@icloud.com.

Scientific reports
|July 16, 2024
PubMed
概括

一个新的多式神经网络模型准确地预测了脑内出血 (ICH) 患者的血液瘤扩张. 这种先进的模型整合了CT扫描和临床数据,为ICH治疗提供了更好的结果.

关键词:
血液瘤扩张 血液瘤扩张脑内出血 脑内出血多模式神经网络多模式神经网络预测 预测 预测

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Hemorrhagic Stroke l: Introduction01:17

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A hemorrhagic stroke is an acute neurological event that occurs when a weakened cerebral blood vessel ruptures, allowing blood to accumulate within or around the brain. The sudden release of blood forms a focal hematoma that increases intracranial pressure, displaces neural tissue, and can obstruct cerebrospinal fluid pathways. These effects may be compounded by intraventricular extension of the hemorrhage, cerebral edema, or compression of adjacent structures, all of which contribute to...
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A hemorrhagic stroke develops when a cerebral blood vessel ruptures, allowing blood to escape into the surrounding brain tissue, as in intracerebral hemorrhage (ICH), or into the subarachnoid space, as in subarachnoid hemorrhage (SAH). Because the skull is a rigid compartment, the sudden presence of extravascular blood rapidly increases intracranial pressure and compresses adjacent neural structures, leading to immediate tissue injury and impaired cerebral perfusion.Mass Effect and Primary...