IntroductionMachine learning (ML) methods are being increasingly applied to prognostic prediction for stroke patients with large vessel occlusion (LVO) treated with endovascular thrombectomy. This sys
Background and Purpose: Subarachnoid hemorrhage (SAH) has long been classified into two main forms, aneurysmal SAH (aSAH) and non-aneurysmal SAH (naSAH), but the related risk factors for aSAH and naSA
Background and purpose: Acute ischemic stroke (AIS) is the most prevalent type of stroke, associated with a significant burden of functional impairments. About 94.2% of AIS patients present with multi
Clinical experiment: gut microbiota pattern in stroke patients (stroke dysbiosis index, SDI) was an independent predictor for early outcome of ischemic stroke patients
All variables included in the multivariate model are presented in the table. M1 = M1 segment of the middle cerebral artery. * per 1-point NIHSS score increase.mRS: Modified Rankin scale. NIHSS: Nation