DeepSAP: A Novel Brain Image-Based Deep Learning Model for Predicting Stroke-Associated Pneumonia From Spontaneous Intracerebral Hemorrhage

• DOI: 10.1016/j.acra.2024.06.025
• Publication Date: 2024-07-02T04:16:25Z
• Authors: Xu Qiao; Chenyang Lu; Min Xu; Guangtong Yang; Wei Chen; Zhiping Liu
• Keywords: Stroke; Brain hemorrhage; Spontaneous intracerebral hemorrhage

Stroke-associated pneumonia (SAP) often appears as a complication following intracerebral hemorrhage (ICH), leading to poor prognosis and increased mortality rates. Previous studies have typically developed prediction models based on clinical data alone, without considering that ICH patients undergo CT scans immediately upon admission. As result, these are subjective lack real-time applicability, with low accuracy does not meet needs. Therefore, there is an urgent need for quick reliable model timely predict SAP.