A prediction model for futile reperfusion after endovascular thrombectomy in large vessel occlusion stroke
New Model Predicts Futile Stroke Reperfusion After Clot Removal
This retrospective cohort study developed a model using clinical, imaging, and laboratory markers to predict futile reperfusion after endova…
A new tool combining clinical, imaging, and lab data can predict which stroke patients may not benefit from clot removal.
Deep-learning model detects hyperdense artery sign on non-contrast CT in suspected stroke patients.
AI Spots Hidden Stroke Clots Minutes Faster on Brain Scans
This multicenter cohort study evaluated an automated deep-learning model for hyperdense artery sign detection on non-contrast CT scans in su…
This AI could give hospitals a critical head start in treating the most dangerous type of stroke, saving precious brain tissue and improving…
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…