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Intradys

Intradys develops medical software that integrates machine learning and mixed reality to enhance planning, guidance, and follow-up in interventional neuroradiology. This technology improves procedural accuracy and patient outcomes by providing neuroradiologists with advanced visualization and communication tools.

Brest, BelarusFounded 201911700+ followers
Updated 4 months ago

Funding

$1.7M 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.

Funding rounds are not available yet.

Founders

Product

Problem

Interventional neuroradiologists face challenges in accurately planning and executing complex procedures, often relying on traditional 2D imaging that lacks the depth and spatial context needed for optimal outcomes. Effective communication and collaboration among medical teams during these procedures can also be difficult due to the limitations of current visualization tools.

Solution

Intradys develops LUMYS, a medical software platform that leverages machine learning and mixed reality to enhance planning, guidance, and follow-up for interventional neuroradiology. The platform integrates advanced image processing, 3D reconstruction, and visualization techniques to provide neuroradiologists with a comprehensive understanding of the patient's anatomy. By combining machine learning with mixed reality, Intradys empowers clinicians with tools to improve procedural accuracy, streamline workflows, and facilitate better communication among medical teams. The LUMYS platform aims to improve patient outcomes by providing advanced visualization and communication tools.

Target Audience

The primary target audience includes interventional neuroradiologists and medical teams involved in neurovascular procedures.

Features

  • Integration of medical imaging data (e.g., DICOM) for comprehensive visualization.
  • 3D reconstruction and mesh processing for enhanced anatomical understanding.
  • Machine learning algorithms for image analysis and decision support.
  • Mixed reality interface for immersive surgical planning and guidance.
  • Tools for pre-operative planning, intra-operative guidance, and post-operative follow-up.
This profile is AI-generated and may contain inaccuracies.