Body Vision Medical develops augmented real-time imaging technology that enhances visualization of anatomical structures during surgical procedures. This technology provides surgeons with immediate, detailed insights, improving surgical precision and minimizing the risk of complications.
Funding
Funding not disclosed
EGFounders
Product
Problem
During bronchoscopy, the challenge of accurately locating and sampling small lung lesions is compounded by CT-to-body divergence, which is the difference between a lesion's location on a preoperative CT scan and its actual location during the procedure. This divergence can lead to lower diagnostic yields and less precise application of localized therapies.
Solution
Body Vision Medical provides an AI-driven, real-time imaging system called LungVision that enhances the accuracy of lung cancer diagnostics and localized therapies. The system transforms any 2D C-arm into a 3D imaging system with navigation capabilities, correcting for CT-to-body divergence using proprietary AI Tomo technology. This enables pulmonologists and thoracic surgeons to visualize the lesion and confirm tool-in-lesion in real-time, leading to increased clinician confidence and improved diagnostic yield.
Target Audience
The primary target audience includes pulmonologists and thoracic surgeons who perform bronchoscopies for lung lesion diagnosis and treatment.
Features
- AI Tomo technology corrects for CT-to-body divergence.
- Real-time, intraoperative 3D imaging from standard 2D C-arms.
- Tool-in-Lesion confirmation for accurate biopsy and therapy delivery.
- Compatible with most C-arms, navigation systems, biopsy tools, and bronchoscopes, including robotic bronchoscopy platforms.
- Facilitates navigation and biopsy of small lung lesions.
- Lower radiation exposure compared to 3D C-arms.