Artificial Intelligence Prediction Model of Occurrence of Cerebral Vasospasms Based on Machine Learning.

Background:  Symptomatic cerebral vasospasms are deleterious complication of the rupture of a cerebral aneurysm and potentially lethal. The existing scales used to classify the initial presentation of a subarachnoid hemorrhage (SAH) offer a blink of the outcome and the possibility of occurrence of symptomatic cerebral vasospasms. Altogether, neither are they sufficient to predict outcome or occurrence of events reliably nor do they offer a united front.

Neurotrauma Emergencies during the SARS-CoV2 Pandemic at a Tertiary Medical Center: Analysis of Incidence and Outcome.

Background:  We assess the impact of lockdown in Germany due to the COVID-19 pandemic on the incidence and outcome of neurotrauma emergencies at a tertiary medical center.

Methods:  All neurosurgical emergencies from March 16, 2020 (first lockdown in Germany) to January 31, 2021 were included and compared with a longitudinal case-cohort. Cases were descriptively recorded and retrospectively analyzed with respect to incidence and outcome.