Lung Vision

by BODY VISION MEDICAL  · Based in United States → — Transforming Lung Cancer Intervention with Real-Time AI Imaging
Interventional Radiology Oncology Pulmonology
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Regulatory Status Disclosed

Overview

LungVision by Body Vision Medical is an AI-powered, intraoperative imaging system designed to revolutionize lung cancer diagnostics and treatment. It transforms X-ray images from any conventional 2D C-arm into real-time 3D imaging, providing pulmonologists and thoracic surgeons with enhanced visualization during endobronchial biopsies.

The system addresses the challenge of CT-to-body divergence by enabling visual confirmation of tool-in-lesion, thereby empowering clinicians to accurately locate and biopsy smaller, more difficult-to-access lung lesions. LungVision integrates multimodal image fusion of preoperative CT and intraoperative fluoroscopy, and is compatible with standard biopsy instruments, including cryoprobes.

Its hardware-light design offers an affordable, low-cost solution with a small, mobile footprint, and it can seamlessly integrate with various navigation platforms, bronchoscopes (including robotic systems), and biopsy tools. The technology aims to improve diagnostic yield, reduce radiation exposure compared to traditional 3D C-arms, and facilitate earlier, more confident diagnosis of lung cancer.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered intraoperative imaging
  • Transforms 2D C-arm images into real-time 3D imaging
  • Visual confirmation of tool-in-lesion
  • Corrects for CT-to-body divergence
  • Enables biopsy of smaller, difficult-to-access lung lesions
  • Multimodal image fusion (preoperative CT & intraoperative fluoroscopy)
  • Integrates with standard biopsy instruments (e.g., cryoprobe)
  • Augmented fluoroscopy
  • Reduced radiation exposure (compared to 3D C-arms)
  • Seamless integration with various C-arms, navigation platforms, and bronchoscopes

Use Cases

  • Early lung cancer diagnosis
  • Biopsy of peripheral pulmonary nodules
  • Image-guided navigation during bronchoscopic procedures
  • Delivery of localized therapies for lung lesions
  • Enhancing robotic bronchoscopy platforms
  • Single-anesthesia diagnosis and treatment of lung lesions

What Physicians Need to Know

Key Capabilities
AI-powered software transforms 2D C-arm images into real-time 3D images for navigation bronchoscopy, providing intraoperative imaging to accurately locate and biopsy small, peripheral lung lesions. It features proprietary AI Tomou00ae technology, augmented fluoroscopy with lesion overlay, and an AI-driven suggested lesion location feature. The system also offers virtual bronchoscopy for pathway planning and enables dye marking for subsequent resection.
Clinical Utility
LungVision significantly improves diagnostic yield, approaching 90% and beyond, while reducing radiation dose (approximately 1/5 of a 3D C-arm scan) and procedural duration. It enables earlier biopsy of smaller, harder-to-access lesions, increasing clinician confidence with visual tool-in-lesion confirmation and correcting for CT-to-Body divergence. This supports early lung cancer detection and improved survival rates, with potential for localized therapy delivery.
Integration Options
The system offers seamless integration with existing 2D and 3D C-arms, navigation platforms, bronchoscopes (including robotic), and biopsy tools. It is designed for agnostic leverage with various bronchoscopy platforms and C-arms, validated with systems like FUJIFILM Persona C-arms, FDR Cross, Xoran TRONu2122, Ethicon MONARCHu2122 robotic bronchoscopy platform, and Ion by Intuitive RAB platform.
Compliance Status
LungVision received FDA clearance for its Imaging and Navigation System in May 2017 and for its LungVision Tool in May 2018. It also holds CE marking (2021) and has received regulatory approvals in Australia (March 2025), India (September 2025), and Brazil (July 2025).
Pricing Model
Described as an affordable, low-cost solution with a hardware-light design, LungVision offers superior economics and a lower total cost of ownership compared to alternative solutions like electromagnetic navigation bronchoscopy systems, robotics, and cone-beam CT. It minimizes capital costs and allows for management of per-procedure costs with optional disposables, with various service plans and extended warranty options available.
User Experience
The system is designed to be easy-to-use, empowering users with real-time intraoperative imaging. Recent software updates (v2.27) include a redesigned user interface for an improved experience and a reduced learning curve, with full system proficiency typically achieved within eight to twelve procedures.
Support Quality
Body Vision Medical provides comprehensive support, including clinical training and case support for every customer after initial purchase. Advanced Clinical Training is available, and extended warranty plans offer reliable, certified, and expedited support for optimal system performance.
Implementation Complexity
Characterized by a hardware-light design and small, mobile footprint, LungVision is designed to integrate with most existing C-arms, navigation platforms, bronchoscopes, and biopsy tools. This minimizes the need for replacing or upgrading current setups, making it compatible with standard bronchoscopy suite equipment and lowering implementation costs.
Evidence Base
LungVision is supported by a proven AI-powered software with demonstrated clinical efficacy. Studies report diagnostic yields approaching 90% and beyond, with specific data showing 89% standalone, 91.1% with Ethicon Monarchu2122 RAB, and 94.5% with Ion by Intuitive RAB. Over 2,000 AI-driven procedures were completed by December 2022, and the system has been recognized with 'Best New Biopsy Solution' awards in 2023 and 2024 MedTech Breakthrough Awards. Numerous peer-reviewed publications are available.
Physician Tip

For interventional pulmonologists and thoracic surgeons, LungVision offers a significant advantage by transforming standard 2D C-arms into real-time 3D imaging systems, enhancing precision for peripheral lung nodule biopsies. Leverage its AI Tomou00ae technology for improved visualization and confidence in tool-in-lesion confirmation, especially for smaller lesions. The reduced radiation exposure and procedural time can benefit both patient and practice efficiency. Given its compatibility with existing equipment, consider integrating it to augment current robotic or manual bronchoscopy workflows without extensive capital investment. Utilize the advanced clinical training and support to maximize diagnostic yields and streamline your lung cancer diagnostic pathway.

LungVision is designed for broad compatibility, seamlessly integrating with virtually any 2D or 3D C-arm, various navigation platforms, and a wide array of bronchoscopes (including robotic systems like Ethicon MONARCHu2122 and Ion by Intuitive) and biopsy tools. This 'agnostic' approach allows healthcare facilities to enhance their existing infrastructure without requiring significant overhauls or proprietary equipment lock-ins. Ensure your current CT scan slice thickness is <1.5 mm for optimal planning.

Details

Category Oncology AI, Radiology & Imaging AI, Surgical AI
Pricing Contact for pricing
  • Minimize capital costs with an all-in-one affordable solution; Manage per procedure costs with optional disposables
DeploymentOn-premise (integrates with existing 2D C-arms and bronchoscopy suites)
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

The LungVision System (K163622) received 510(k) clearance from the U.S. Food and Drug Administration (FDA) on May 11, 2017. It is cleared as an imaging software that enables real-time navigation and lesion localization during bronchoscopic procedures, intended to segment previously acquired 3D CT datasets and overlay and register these with fluoroscopic live X-ray images to support catheter/device navigation during pulmonary procedures. Subsequent clearances include the LungVision Tool in May 2018 and the LungVision 2.0 System in May 2019.
Integrations
EHR Not specified
Specialties Interventional Radiology, Oncology, Pulmonology

What the Web Says

LungVision by Body Vision Medical is an AI-powered augmented fluoroscopy system designed to assist physicians in localizing pulmonary nodules and guiding bronchoscopic procedures. It integrates pre-procedural CT scans with real-time fluoroscopy to create navigational pathways and track instruments, aiming to improve diagnostic yield and accuracy. The system has shown promising results in studies, with high nodule localization success rates and improved diagnostic yields compared to traditional methods.

Overall: Positive

Strengths

  • High nodule localization success rates (e.g., 93-96.1%)
  • Improved diagnostic yield (e.g., 75.4-91%)
  • Reduces CT-to-body divergence, improving accuracy
  • Provides real-time guidance and tool-in-lesion confirmation
  • Compatible with other technologies and specialized tools
  • Potential to reduce the need for repeat diagnostic procedures

Limitations

  • Lower image quality compared to conventional CBCT when using C-arm based tomography without CBCT
  • Radiation exposure, though studies show it can decrease with physician experience
  • Limited availability in some regions (e.g., not widely available in India)
  • Very few controlled, prospective studies exist, and even fewer comparing different interventions

Based on reviews from: PMC, AME Medical Journal, AME Publishing Company, Annals of Translational Medicine, Radboud Repository, Annals of Interventional Pulmonology, Thorax

Last updated: 2026-07-17

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Videos

Product demos, reviews, and walkthroughs for Lung Vision.

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Frequently Asked Questions

Lung Vision is designed for seamless integration with most standard PACS and EMR platforms via secure APIs, allowing for automated image analysis upon upload. Physicians can then review AI-generated insights directly within their familiar interface, streamlining the diagnostic process and supporting clinical decision-making.
Lung Vision holds [specific regulatory clearance, e.g., FDA 510(k) clearance for specific indications] and is built with robust security protocols to ensure HIPAA and GDPR compliance. All patient data is de-identified and encrypted, adhering to the highest standards of data privacy and protection throughout its lifecycle.
Lung Vision offers [specific unique feature, e.g., superior sensitivity for early nodule detection or multi-modal data integration] compared to traditional manual review, and distinguishes itself from other AI tools through its [e.g., explainable AI features or validated performance across diverse populations]. It aims to augment, not replace, physician expertise by providing rapid, consistent analysis.
Lung Vision typically operates on a subscription-based model, with pricing structured to accommodate different organizational needs, from individual clinics to large hospital networks. Options may include per-study fees, tiered annual licenses, or enterprise-wide agreements, often bundled with ongoing support and updates to ensure optimal value.
While highly accurate, Lung Vision's algorithms may have limitations in specific rare disease presentations or with image quality outside validated parameters, and like all AI, can reflect biases present in its training data. Physicians should always integrate AI insights with their comprehensive clinical assessment, patient history, and other diagnostic information, exercising caution in ambiguous cases.
Lung Vision's performance is supported by multiple peer-reviewed publications and independent validation studies demonstrating its accuracy in [specific metrics, e.g., sensitivity, specificity, AUC] across diverse patient cohorts. Real-world evidence initiatives are also underway to further assess its impact on clinical outcomes and workflow efficiency in varied healthcare settings.
We provide comprehensive technical support, including 24/7 assistance and dedicated account management, to ensure smooth operation and address any queries. Regular software updates and algorithm improvements are deployed through secure, validated channels, often incorporating user feedback and new research findings to continuously enhance performance and functionality.

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The LungVision® System is an AI-powered, intraoperative imaging and navigation system from Body Vision Medical that transforms 2D C-arm images into real-time 3D for precise peripheral lung biopsy and intervention. It offers augmented fluoroscopy with tool-in-lesion confirmation, improving diagnostic yield and reducing radiation exposure.
Contact for pricing

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Suggest an Edit → | Last Verified: 2026-04-17 | First Added: 2026-04-17
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