Quantitative Angiographic Systems
Artificial Intelligence
Surgeon's can modify aneurysm treatment plans on-the-fly during an active procedure
Implications
Our Technology
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.
The Process
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
Future Directions
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
A) Single digital subtraction angiographic frame B) Corresponding API map C) Network aneurysm location (segmentation) overlaid onto the data from image A, the aneurysm shown in blue, and the vasculature shown in red.
solutions for real time assistance during endovascular procedures
QAS.AI
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
Graphic Images Credit: This Photo by Unknown Author is licensed under CC BY-SA
