Katerina Spranger
CEO
Oxford Heartbeat
Oxford Heartbeat develops PreSize® Neurovascular, an AI-powered surgical planning software that creates patient-specific blood vessel models from routine scans. This technology enables clinicians to select the optimal implant devices before surgery, reducing the risk of complications and improving patient outcomes.
- Artificial Intelligence
- Healthcare Technology
- Software Only
Updated 7 months ago
Funding
Raised to date
$10KRaised 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.
Funding rounds are not available yet.
Founders
Product
Problem
Current neurovascular surgical planning relies on generalized models, leading to suboptimal device selection and a 20% failure rate in device deployment surgeries. This can result in complications, increased procedure times, and poorer patient outcomes.
Solution
Oxford Heartbeat's PreSize® Neurovascular is an AI-powered decision-support software that creates patient-specific blood vessel models from routine scans. Clinicians import patient scans into PreSize®, which then automatically builds a virtual model. The software allows users to position digital twins of different implant devices into the virtual blood vessel model and simulate various surgical scenarios. PreSize® generates a best-fit device recommendation based on the patient's unique anatomy, aiming to reduce surgical complications and improve patient outcomes by enabling clinicians to select the optimal implant device before surgery.
Target Audience
The primary target audience includes interventional neuroradiologists, neurosurgeons, and hospitals performing neurovascular procedures.
Features
- AI-driven generation of patient-specific 3D blood vessel models from standard medical scans
- Virtual placement and simulation of neurovascular implants within the model
- Automated device selection based on anatomical fit and surgical objectives
- Real-time surgical rehearsal capabilities to evaluate different scenarios
- Integration with existing clinical workflows via standard DICOM format
- Cloud-based platform for secure data storage and accessibility
- Highest validated accuracy in device deployment simulation (96%)