Rationale and Objectives This study aimed to employ deep learning techniques to analyze
and validate an automatic prognostic biomarker for predicting outcomes following …

Deep learning (DL)-based convolutional neural networks facilitate more accurate detection
and rapid analysis of MLS. Our objective was to assess the feasibility of applying a DL …

Prognosis of primary pontine hemorrhage (PPH) is important for treatment planning and
patient management. However, only few clinical factors were reported to have prognostic …

Background and Purpose: Fully automated methods for segmentation and volume
quantification of intraparenchymal hemorrhage (ICH), intraventricular hemorrhage extension …

I am an expert, and I need help. After 10 years of training and 25 years of practice, seeing
thousands of patients, attending and presenting scientific and educational lectures, and …

Objectives This study aimed to investigate the usefulness of a new non-contrast CT scan
(NCCT) sign called the dHU, which represented the difference in mean Hounsfield unit …

Spontaneous intracerebral hemorrhage (ICH) has high morbidity and mortality. Computed
tomography (CT) plays an important role in the diagnosis, treatment, and research of …

BACKGROUND Stroke, a major global health issue, is broadly categorized into ischemic
and hemorrhagic types. The volume of hemorrhage on noncontrast computed tomography …

Purpose This study aimed to assess and externally validate the performance of a deep
learning (DL) model for the interpretation of non-contrast computed tomography (NCCT) …

人工智能作为一种新兴技术, 已应用于脑卒中预防, 诊治和康复等多领域, 并突显出巨大的潜力.
人工智能与大数据相结合, 可用于脑卒中高危人群的精准识别, 自动化病因分型 …