VBrain applies auto-contouring to the three most common types of brain tumors: brain metastasis, meningioma and acoustic neuroma.
Proprietary AI technology and first-ever FDA clearance
VBrain uses a proprietary artificial intelligence algorithm to contour (segment) brain tumors on MRI images and is the first solution ever cleared by the FDA for AI-powered tumor auto-contouring in radiotherapy.
Spot tiny lesions and accelerate contouring workflows by 30.8%
VBrain demonstrates 12.2 percent higher sensitivity for lesion detection while decreasing treatment planning time at a median of 30.8 percent. Increased accuracy and efficiency of all clinicians is remarkably proven with less experienced clinicians exhibiting the most distinct improvements utilizing VBrain’s assistance.
Seamless integration with existing workflows
VBrain is vendor-neutral, seamlessly integrating with any treatment planning system by supporting data routing to and from DICOM nodes within a hospital network. An administration interface manages data routing rules and the configuration of workflows.
Randomized Multi-Reader Evaluation of Automated Detection and Segmentation of Brain Tumors in Stereotactic Radiosurgery with Deep Neural Networks
Oral Presentation at ASTRO 2019 (acceptance rate: 6%)
Automated Detection and Segmentation of Brain Metastases in Stereotactic Radiosurgery Using Three-Dimensional Deep Neural Networks
Workshop on Artificial Intelligence in Radiation Therapy at MICCAI 2019
Multimodal Volume-Aware Detection and Segmentation for Brain Metastases Radiosurgery