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QAS.AI

Qas.ai develops AI-driven software that enhances image-guided surgical procedures by accurately detecting tissue perfusion and predicting aneurysm treatment outcomes in real-time. This technology enables surgeons to modify treatment plans during procedures, addressing the critical need for immediate feedback on blood flow and vessel occlusion.

BuffaloFounded 20204100+ followers
Updated 20 months ago

Funding

$255.6K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

NS
Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

During image-guided neurovascular surgery, surgeons lack real-time feedback on tissue perfusion and the effectiveness of aneurysm treatment, making it difficult to adjust treatment plans during the procedure. Current methods do not provide immediate insight into blood flow and vessel occlusion.

Solution

Qas.ai offers AI-driven software that integrates with angiographic imaging systems to provide real-time decision support during neuroendovascular procedures. The software analyzes post-device angiograms in under one second to forecast treatment success by predicting aneurysm occlusion at six months based on flow dynamics immediately after device placement. It detects areas of inadequate blood flow in the brain and predicts the efficacy of aneurysm correction, enabling surgeons to modify treatment plans on-the-fly. The system also quantifies distal perfusion and provides automated mTICI scores following thrombectomy in acute stroke cases.

Target Audience

The primary users are neurosurgeons and interventional radiologists performing image-guided neurovascular procedures, as well as hospitals and medical centers specializing in cerebrovascular disease treatment.

Features

  • Real-time aneurysm detection on contrast-filled angiograms with no manual input
  • Prediction of aneurysm occlusion probability at six months post-device placement
  • Automated detection of injection inlets and bias compensation for standardized data
  • Integration with angiographic imaging systems for seamless workflow
  • Automated mTICI score calculation for acute stroke thrombectomy procedures
  • Lesion localization with 90%+ accuracy
  • Prediction of treatment outcome in 15ms
This profile is AI-generated and may contain inaccuracies.