Oncologic emergencies are a wide spectrum of oncologic conditions caused directly by
malignancies or their treatment. Oncologic emergencies may be classified according to the …

Stroke is a severe illness, that requires early stroke detection and intervention, as this would
help prevent the worsening of the condition. The research is done to solve stroke prediction …

Objective To develop an effective machine learning model to preoperatively predict the
occurrence of futile recanalization (FR) of acute basilar artery occlusion (ABAO) patients with …

Background Intramedullary spinal cord tumors are challenging to resect, and their
postoperative neurological outcomes are often difficult to predict, with few studies assessing …

Objectives Despite successful recanalization after Mechanical Thrombectomy (MT),
approximately 25% of patients with Acute Ischemic Stroke (AIS) due to Large Vessel …

Objective To explore the therapeutic potential of Cordyceps sinensis (Berk.) Sacc.(C.
sinensis, Dong Chong Xia Cao) in an ischemic stroke (IS) model and predict its possible …

Background Clinically ineffective reperfusion (CIR) refers to the discrepancy between
successful reperfusion and a favorable functional outcome in patients with large vessel …

Background Malignant cerebral edema (MCE) is associated with both net water uptake
(NWU) and infarct volume. We hypothesized that NWU weighted by the affected Alberta …

Objective The objective of this study is to systematically evaluate prediction models for post-
thrombectomy brain edema in acute ischemic stroke (AIS) patients. This analysis aims to …

Purpose: Hemorrhagic complications occasionally occur during mechanical thrombectomy
and may lead to catastrophic outcomes. Therefore, remedial strategies require careful …