Medivis Unveils AR System Turning MRI and CT Scans Into 3D Holograms
US-based Medivis has introduced a next-generation augmented reality platform that transforms traditional 2D MRI and CT scans into fully interactive 3D holograms. The system, called SurgicalAR, is designed to give surgeons unprecedented visual clarity directly during an operation.
2D Medical Imaging Becomes Real-Time 3D Anatomy
SurgicalAR converts complex, flat radiological images into volumetric holographic models in less than 30 seconds. When viewed through an AR headset, these holograms are anchored precisely on top of the patient’s body, giving surgeons a spatial understanding normally available only through exploratory procedures or multiple imaging sessions.
The system automatically analyzes over 4,000 virtual reference points to align the hologram to the patient’s anatomy. This automatic calibration reduces manual setup time and eliminates alignment errors that often occur with traditional navigation tools.
Adoption Across Leading US Medical Centers
SurgicalAR has already been deployed in more than 15 major US hospitals and academic medical centers. Its early clinical use spans neurosurgery, orthopedic reconstruction, oncology operations, and complex plastic surgeries.
According to Medivis, over 500 operations have been performed using the system, with surgeons reporting improved spatial awareness, reduced uncertainty in incision planning, and more precise navigation during critical steps of a procedure.
A Glimpse Into the Future of Operating Rooms
The introduction of holographic visualization marks a significant shift in surgical workflows. Instead of relying solely on static screens or mental reconstruction of anatomy, surgeons can interact with real-time floating models that react to their viewpoint and movements.
Medivis positions SurgicalAR as a foundational step toward fully augmented operating rooms, where imaging, planning, and navigation merge into a single immersive interface that enhances safety and accuracy.
Editorial Team — CoinBotLab