The startup develops a training platform that utilizes virtual reality, real instrument handling, and machine learning to provide scalable and cost-effective surgical training. This system enables surgeons to acquire practical skills in a controlled environment, enhancing their proficiency and readiness for real-world procedures.
Funding
$4.3M 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.
Founders
Product
Problem
Traditional medical training methods often involve high costs, ethical concerns with animal testing and cadavers, and logistical challenges in providing scalable, personalized education to healthcare professionals. Mastering complex procedures and new medical technologies requires efficient and accessible training solutions.
Solution
VirtualiSurg offers a meta-learning platform that utilizes extended reality (XR) technologies, including virtual reality (VR), mixed reality (MR), and augmented reality (AR), to provide immersive and haptic simulations for medical education and training. The platform enables healthcare professionals and medical device companies to learn new medical procedures and use new medical technologies in a realistic, risk-free virtual environment. By combining virtual reality with haptic arm robotics and real medical instruments, VirtualiSurg delivers precise force feedback, allowing users to refine their technical gestures and master minimally invasive procedures. The platform also incorporates a data evaluation and analysis system, leveraging machine learning to personalize education and track user performance.
Target Audience
The primary audience includes healthcare professionals (doctors, surgeons, nurses) seeking to enhance their skills and knowledge, as well as medical device companies aiming to accelerate the adoption of their technologies through effective training programs.
Features
- Realistic virtual operating environments for immersive training
- Haptic arm robotics and real medical instruments for precise force feedback
- Objective and automated data evaluation & analysis system
- Personalized education through machine learning
- Remote collaboration capabilities for group learning
- Compatibility with standalone and non-standalone VR headsets (Lynx, Oculus Quest 2, Pico, HP Reverb 2)
- Skills training in anatomy, medical procedures, and risk management
- Integration with existing training devices (LMS)