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Deep learning-based quantification of total bleeding volume and its association with complications, disability, and death in patients with aneurysmal subarachnoid hemorrhage.

Ping HuYanze WuTengfeng YanLei ShuFeng LiuBing XiaoMinhua YeMiaojing WuShigang LvXingen Zhu
Published in: Journal of neurosurgery (2024)
Elevated TBV is associated with a greater risk of hydrocephalus, rebleeding, death, and poor prognosis.
Keyphrases
  • poor prognosis
  • deep learning
  • long non coding rna
  • multiple sclerosis
  • atrial fibrillation
  • subarachnoid hemorrhage
  • risk factors
  • cerebrospinal fluid
  • artificial intelligence