Surgeon's can modify aneurysm treatment plans on-the-fly during an active procedure
Our AI-driven software can be used during surgery to detect areas of inadequate blood flow in the brain and predict efficacy of aneurysm correction six months after embolization.
Our system is an interface between the position of the medical imaging device (the c-arm), image acquition parameters, and processing of the angiographic parametric imaging. The software surveys tissue perfusion in automatically placed regions of interest after each angiogram, compares it to baseline, and detects the location of ischemia with a 90% probability for accurate diagnosis. QAS.AI software has been trained on thousands of patient data.
In only 15ms, QAS.AI modules can accurately locate the diseased lesion and predict treatment outcome.
Minimal disruption to clinical workflow while providing feedback in seconds
If a future occlusion is predicted, the interventionalist can decide if the treatment should be modified
Development of additional angiographic based software to assess other flow-related pathologies: intracanial
Collaborations with angiography systems manufacturing and corporate partnerships.
Development of additional angiographic based software to assess other flow-related pathologies: intracranial atherosclerotic disease, ischemic stroke, or arteriovenous malformation
QAS.AI algorithm predicts the odds of complete aneurysm healing at 6 months post device placement
Intra-Procedural Prognosis Of Aneurysm Healing
QAS.AI software detects tissue perfusion status and vessel occlusion with high accuracy
Automated Detection Of Perfusion Status And Vessel Occlusion
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