Machine learning and deep learning models show promise for automated intracranial hemorrhage detection and classification on non-contrast CT scans.
Can computer programs spot brain bleeds better than humans, and what does that mean for you?
This systematic review and hybrid model approach evaluated machine learning and deep learning methodologies applied to non-contrast CT scans…
New computer programs can spot brain bleeds faster and more accurately than older methods, but serious hurdles remain before they become sta…
Global bibliometric analysis reveals neuroendoscopy research evolution from conservative treatment to augmented reality over two decades.
How has global research on brain surgery for bleeding changed over the last twenty years?
This bibliometric review analyzed 403 articles from authors at 555 institutions across 43 countries regarding neuroendoscopy for intracrania…
Global brain surgery research has shifted from proving safety to refining precise, high-tech treatments for bleeding over the last twenty ye…
Direct Transfer to Angiography Suite Shows No Benefit, Higher Hemorrhage Risk in Severe Stroke
Does rushing stroke patients straight to treatment improve their recovery?
A randomized trial in 115 adults with acute severe stroke from large vessel occlusion compared direct transfer to angiography suite (DTAS) w…
Skipping the CT scan to rush stroke patients straight to treatment did not improve recovery and increased the risk of serious brain bleeding…