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以下由机器智能翻译，仅供参考。 1. Correlating Age and Hematoma Volume with Extent of Midline Shift in Acute Subdural Hematoma Patients: Validation of an Artificial Intelligence Tool for Volumetric Analysis 急性硬膜下血肿患者的年龄和血肿体积与中线移位程度的相关性: 用于体积分析的人工智能工具的验证 Decision for intervention in acute subdural hematoma patients is based on a combination of clinical and radiographic factors. Age has been suggested as a factor to be strongly considered when interpreting midline shift (MLS) and hematoma volume data for assessing critical clinical severity during operative intervention decisions for acute subdural hematoma patients. The objective of this study was to demonstrate the use of an automated volumetric analysis tool to measure hematoma volume and MLS and quantify their relationship with age. Commercially available, automated, artificial intelligence (AI)-based tools may be used for obtaining
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