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Hypervision Surgical

Hypervision Surgical Ltd utilizes AI-powered hyperspectral imaging to provide real-time, non-invasive tissue characterization during surgeries, enhancing the precision of intraoperative decision-making. This technology addresses the challenge of subjective visual assessments by enabling clinicians to differentiate between tumor and healthy tissue, ultimately improving patient safety and surgical outcomes.

London, United KingdomFounded 2020232K+ followers
Updated 20 months ago

Funding

$8.8M 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.

MI
Funding rounds are not available yet.

Founders

Product

Problem

Surgeons currently rely on subjective visual assessment to differentiate between healthy and diseased tissue during operations, which can lead to incomplete resections, increased patient morbidity, and higher healthcare costs. Existing intraoperative techniques often lack the precision needed to ensure maximal removal of tumors while preserving healthy tissue.

Solution

Hypervision Surgical provides an AI-powered hyperspectral imaging system that offers real-time, non-invasive tissue characterization during surgical procedures. The system uses safe optical imaging to analyze tissue properties beyond what the human eye can see. AI algorithms then process this data to provide quantitative, wide-field information on physiological tissue properties, including perfusion. This enables surgeons to differentiate between tumor, normal tissue, nerves, and blood vessels in real-time, enhancing surgical precision and patient safety without the need for contrast agents.

Target Audience

The primary target audience includes surgeons across various specialties, such as neurosurgery, who require improved intraoperative guidance to enhance precision, patient outcomes, and safety.

Features

  • Hyperspectral imaging: Splits light into multiple spectral bands to capture diagnostic information about tissue properties.
  • AI-driven tissue differentiation: Identifies tumor, normal tissue, nerves, and blood vessels in real time.
  • Quantitative analysis: Provides wide-field information on physiological tissue properties, including perfusion assessment.
  • Non-contact measurement: Allows for assessment without direct contact with tissue.
  • Integration with surgical workflow: Designed for seamless integration into existing surgical procedures.
  • No contrast agents: Eliminates the need for exogenous contrast agents, preventing potential side effects.
This profile is AI-generated and may contain inaccuracies.