LungVision
Overview
The LungVision® system by BodyVision Medical is an advanced, AI-driven intraoperative imaging and navigation platform designed to revolutionize early lung cancer diagnosis and treatment. It leverages proprietary AI Tomo® technology to transform standard 2D C-arm X-ray images into real-time 3D CT-like scans, providing enhanced visualization and guidance during bronchoscopic procedures.
The system addresses the critical challenge of CT-to-body divergence, which often hinders accurate biopsy of peripheral lung nodules. By fusing preoperative CT data with intraoperative fluoroscopy, LungVision enables real-time augmented endobronchial navigation and offers visual confirmation of the tool-in-lesion, significantly improving diagnostic yield and clinician confidence.
LungVision is designed to be hardware-light and compatible with most existing C-arms, bronchoscopes (including robotic platforms), and biopsy tools, making it an affordable and accessible solution for medical centers. It aims to reduce radiation exposure for both patients and staff compared to traditional 3D imaging systems and streamline procedural workflows.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered real-time 3D imaging from 2D C-arms
- Multimodal image fusion (preoperative CT & intraoperative fluoroscopy)
- Augmented endobronchial fluoroscopic navigation and guidance
- Correction for CT-to-Body Divergence
- Visual Tool-in-Lesion confirmation
- Compatibility with standard biopsy instruments, bronchoscopes, and C-arms
- Reduced radiation exposure compared to 3D C-arms
- AI-driven suggested lesion location feature
- Hardware-light, small, and mobile footprint
- Real-time intraoperative CT scans from X-ray images
Use Cases
- Peripheral lung nodule biopsy
- Early lung cancer detection and diagnosis
- Guidance for endobronchial tools in pulmonary procedures
- Delivery of localized therapies for lung cancer
- Enhancing robotic bronchoscopy platforms
- Minimally invasive lung interventions
What Physicians Need to Know
Consider LungVision for its ability to provide real-time, AI-enhanced 3D imaging during bronchoscopy, which can significantly improve confidence in tool-in-lesion confirmation, especially for small or peripheral nodules. The system's compatibility with existing C-arms and robotic platforms makes it a flexible addition to most bronchoscopy suites. Leverage its low radiation dose and potential for increased diagnostic yield to enhance patient safety and outcomes in lung cancer diagnosis. The integrated planning and virtual bronchoscopy features can aid in complex case navigation.
LungVision is designed for broad compatibility, integrating seamlessly with any conventional 2D C-arm, various navigation platforms (including robotic systems), and standard bronchoscopes. This 'agnostic' approach minimizes the need for significant capital expenditure on new imaging equipment or a complete overhaul of existing bronchoscopy setups. Preoperative CT scans are essential for initial planning, and the system's ability to correct for CT-to-body divergence is a key benefit when integrating with pre-procedural imaging.
Details
| Category | Oncology AI, Radiology & Imaging AI, Surgical AI |
| Pricing |
Contact for pricing
|
| Deployment | On-premise (integrates with existing C-arm systems, includes main unit and tablet) |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated The LungVision System received FDA clearance (K240943) on October 1, 2024. It is intended to enable users to segment previously acquired 3D CT datasets and overlay and register these 3D segmented data sets with fluoroscopic live X-ray images to support catheter/device navigation during pulmonary procedures. |
| Integrations | |
| EHR | Not specified |
| Specialties | Interventional Radiology, Oncology, Pulmonology |
What the Web Says
LungVision, developed by Body Vision Medical, is an AI-powered intraoperative imaging system designed to enhance the accuracy and precision of peripheral lung nodule biopsies. It transforms standard 2D C-arm fluoroscopy images into real-time 3D images, aiming to improve diagnostic yield and facilitate earlier lung cancer detection. Physicians highlight its ability to provide real-time visualization and guidance, even for small and difficult-to-access lesions.
Overall: PositiveStrengths
- Improved diagnostic yield, with studies reporting overall diagnostic yields of 77.8% to 81.8%, and up to 72.2% for lesions smaller than 20mm.
- Real-time, intraoperative 3D imaging from standard 2D C-arms, eliminating the need for costly 3D fluoroscopy systems and minimizing CT-to-body divergence.
- Reduced radiation exposure for both patients and staff compared to traditional 3D systems.
- Compatibility with all standard biopsy tools, including cryoprobes, and seamless integration with existing bronchoscopy suites and navigation platforms (including robotic systems).
- Cost-effective solution due to its hardware-light design and ability to integrate with standard equipment.
- Enhanced confidence for physicians in accurately locating and biopsying peripheral lung nodules, leading to earlier diagnosis and potentially curative approaches.
Limitations
- Diagnostic yield, while improved, may still be inferior to transthoracic needle aspiration (TTNA) in some cases.
- Randomized controlled trials are still needed to accurately ascertain its diagnostic yield.
- Some initial negative biopsy results with LungVision were later found to be positive for malignancy when rebiopsied with TTNA.
- Potential for pneumothorax as a complication, though reported as infrequent.
- Requires specific presets for different C-arm models, which might necessitate reprogramming.
- No specific reviews found on G2, Capterra, or Reddit, which limits insights from those platforms.
Based on reviews from: PMC, Body Vision Medical Website, PR Newswire, YouTube
Last updated: 2026-07-17
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Press & Coverage
Videos
Product demos, reviews, and walkthroughs for LungVision.
David Webster Presents Body Vision Medical at LSI USA '24
Body Vision Medical
LungVision Workflow - Standalone for Navigation and Real-Time Imaging
Body Vision Medical
LungVision Workflow - Enhancing Ion with Real-Time Imaging
Body Vision Medical
LungVision Workflow - Enhancing Monarch with Real-Time Imaging
Body Vision Medical
LungVision - The New Standard in Lung Cancer Diagnostics (No CC)
Body Vision Medical
Dr. Sonali Sethi on LungVisionu00ae u2013 APCB 2025 Lecture
Body Vision Medical
Frequently Asked Questions
Investors who backed LungVision
Funded through the company that built this tool.
