Development of a deep-learning algorithm for etiological classification of subarachnoid hemorrhage using non-contrast CT scans - Chen, Lingxu; Wang, Xiaochen; Li, Yuanjun; Bao, Yang; Wang, Sihui; Zhao, Xuening; Yuan, Mengyuan; Kang, Jianghe; Sun, Shengjun (European radiology, 2025)
Keywords: Accuracy; Adult; Aged; Algorithms; Aneurysm; Aneurysms; Angiography; Classification; Clinical medicine; Computed tomography; Correlation coefficient; Correlation coefficients; Decision making; Deep Learning; Diagnosis; Diagnostic Radiology; Electronic health records; Etiology; Female; Hemorrhage; Hospitals; Humans; Imaging; Internal Medicine; Interventional Radiology; Machine learning; Male; Medical imaging; Medical records; Medicine; Medicine & Public Health; Middle Aged; Neuro; Neuroradiology; Patients; Radiographic Image Interpretation, Computer-Assisted - methods; Radiology; Retrospective Studies; Sensitivity; Sensitivity and Specificity; Subarachnoid hemorrhage; Subarachnoid Hemorrhage - classification; Subarachnoid Hemorrhage - diagnostic imaging; Subarachnoid Hemorrhage - etiology; Tomography, X-Ray Computed - methods; Ultrasound; Beijing China; China; Deep learning; Computed tomography; Subarachnoid hemorrhage; Intracranial aneurysm