Vri

This company uses Virtual Reality, Artificial Intelligence, and Metaverse technologies for 3D bioimaging visualization and analysis. Their goal is to disrupt current methods in bioimaging by leveraging these immersive and intelligent platforms.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Traditional methods of visualizing and analyzing biomedical images, such as MRI and CT scans, often present data in 2D formats, limiting the amount of information clinicians can extract and potentially increasing diagnostic errors. Current methods can also be time-consuming, requiring extensive training and analysis, which contributes to healthcare system congestion and delays in treatment.

Solution

VRAIn Medical offers a cloud-based platform that leverages virtual reality (VR), augmented reality (AR), and artificial intelligence (AI) to provide immersive 3D visualization and analysis of biomedical images. The platform, ScalpelVR, allows healthcare professionals to interact with medical data in a spatial computing environment, extracting up to 100 times more information compared to traditional 2D methods, with analysis speeds up to 1,000 times faster. By enabling more intuitive interaction with data, VRAIn aims to reduce diagnostic errors, improve medical training, enhance patient engagement, and facilitate early detection of diseases like cancer, Alzheimer's, and cardiovascular conditions. The platform is designed to integrate with existing medical institution PACS systems.

Target Audience

The primary target audience includes hospitals, clinics, medical universities, and healthcare professionals seeking advanced image-based diagnostic, training, and research tools.

Features

Immersive 3D visualization of biomedical images (MRI, CT-scan, ultrasound, microscopy, etc.) using VR/AR technologies
Cloud-based platform accessible from various locations
AI-powered tools for automated segmentation, measurement, and analysis of medical images
Compatibility with medical institution PACS for seamless data loading
Tools for tumor counting, volume computation, and region-of-interest selection
Manual segmentation capabilities using hand gestures in a VR environment
Specialized modules tailored for specific use-cases such as vascular surgery and oncology
Patient-specific module to improve the health care of people suffering from health problems by promoting an engaging, interdisciplinary and enriching model of Clinical Medicine