QAS.AI is an AI-driven software used during surgery to detect areas of inadequate blood flow in the brain and predict aneurysm correction efficacy six months post-embolization. It interfaces with medical imaging devices, analyzing angiographic data to survey tissue perfusion, compare it to baseline, and detect ischemia with 90% accuracy. The software processes data in 15ms, providing real-time feedback to allow surgeons to modify treatment plans if needed. Future development includes assessing other flow-related pathologies like intracranial atherosclerotic disease, ischemic stroke, or arteriovenous malformation, and collaborations with angiography systems manufacturers.
• provides feedback in seconds
• predicts treatment outcome
• locates diseased lesion in 15ms
• predicts efficacy of aneurysm correction six months after embolization
• detects areas of inadequate blood flow in the brain
• intra-procedural prognosis of aneurysm healing
• automated detection of perfusion status and vessel occlusion
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