Hypervision Surgical

Hypervision Surgical

Making surgeries more precise, safer and faster. Guiding the future of surgery using AI-powered hyperspectral imaging.

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€0.0

round
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round
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£6.5m

Seed
Total Funding000k
More about Hypervision Surgical
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Hypervision Surgical Ltd is a medical technology startup that aims to revolutionize surgical procedures through the use of artificial intelligence (AI) and hyperspectral imaging. This technology allows for more precise, safer, and faster surgeries. The company was formed as a spin-off from King's College London and is comprised of a team of clinicians, medical imaging, and AI experts.

The company's primary offering is an advanced computer-assisted tissue analysis system. This system uses AI to provide real-time, wide-field information on physiological tissue properties, including the assessment of tissue and blood vessels. This technology is designed to aid surgeons in making more accurate intraoperative decisions, reducing patient risk and improving outcomes.

Hypervision Surgical operates in the medical technology market, serving healthcare providers and specifically surgeons across various specialties. Their business model revolves around the development and sale of their AI-powered imaging system. The system is designed to integrate seamlessly into the surgical workflow, providing real-time data-driven tissue characterisation without the need for contrast agents, thus avoiding potential side effects.

The company's technology addresses a significant clinical need for better intraoperative guidance. For instance, in brain tumor surgeries, complete tumor removal significantly improves patient outcomes and life expectancy. However, this must be balanced with the preservation of healthy tissue. Hypervision Surgical's technology aims to assist in this delicate balance by providing detailed real-time tissue information, thus reducing reliance on the surgeon’s subjective visual assessment.

Keywords: Hypervision Surgical Ltd, Artificial Intelligence, Hyperspectral Imaging, Surgical Precision, Patient Safety, Real-time Tissue Information, Medical Technology, Intraoperative Guidance, Computer-Assisted Tissue Analysis, Healthcare Providers.

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