Aneurysm location does not significantly affect mortality or functional outcomes in aneurysmal subarachnoid hemorrhage
Location Doesn't Rule Out Recovery After Brain Bleed
This systematic review and meta-analysis of 2,611 patients with anterior or posterior circulation aneurysmal subarachnoid hemorrhage found n…
A major review finds that brain bleeds in the back of the head aren't deadlier or more disabling than those in the front, challenging long-h…
Early serum metabolomics distinguished delayed cerebral ischemia from non-DCI aneurysmal subarachnoid hemorrhage in a small retrospective cohort
A Simple Blood Test Could Predict a Dangerous Stroke Complication
This retrospective cohort study evaluated early serum metabolomics in 44 patients with aneurysmal subarachnoid hemorrhage (aSAH), comparing …
For patients who survive a burst brain aneurysm, a new discovery could help doctors see trouble coming days in advance and act to prevent fu…
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…
Gut Metabolite Levels Associate with Outcomes After Aneurysmal Subarachnoid Hemorrhage
Can early blood tests predict brain injury after a severe brain bleed?
A prospective observational cohort of 80 patients with aneurysmal subarachnoid hemorrhage found lower levels of specific gut-derived metabol…
Low levels of specific gut chemicals in early blood tests may signal delayed brain injury after a severe brain bleed, offering a potential w…
Early nutrition and rehabilitation protocol associated with better outcomes in severe subarachnoid hemorrhage
Can early feeding and rehab help severe brain bleed survivors recover better?
A retrospective cohort study of 102 patients with severe SAH (Hunt–Hess grade III–V) found that combined early enteral nutrition (within 48 …
Starting feeding and rehab within three days helped severe brain bleed survivors recover better, spend less time in the hospital, and avoid …
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…
Ensemble machine learning models show best discriminative performance for predicting DCI after aneurysmal SAH
Machine learning models show promise for predicting brain complications after aneurysm rupture
A systematic review and meta-analysis of 29 studies involving 10,000 patients with aneurysmal subarachnoid hemorrhage found that ensemble ma…
Machine learning models can predict dangerous brain complications after aneurysm rupture with moderate accuracy, but real-world testing is s…
Questions about Intracranial Hemorrhage
How has neuroendoscopy treatment for intracranial hemorrhage changed over the last twenty years?
Neuroendoscopy research has shifted from studying basic safety to using advanced tools like augmented reality, while machine learning now helps detect hemorrhages faster on CT scans.
Full answer →How do deep learning models compare to standard methods for classifying intracranial hemorrhage?
Deep learning models show promise for automatically detecting and classifying intracranial hemorrhage on CT scans, often matching or exceeding standard methods in sensitivity and speed.
Full answer →Can machine learning models help doctors detect intracranial hemorrhage on non-contrast CT scans?
Machine learning models can help doctors detect intracranial hemorrhage on non-contrast CT scans with high accuracy, often matching or exceeding the performance of medical residents.
Full answer →