VIDAvision
Overview
VIDAvision, also referred to as VIDA|vision, is an FDA-cleared imaging software developed by VIDA Diagnostics. It utilizes AI-powered deep learning algorithms to analyze chest CT scans, providing comprehensive quantitative analysis for diagnosing and monitoring various lung diseases. The software reconstructs 2D CT images into detailed 3D views and generates comprehensive reports, streamlining clinical workflows and reducing manual effort. VIDAvision supports physicians in the diagnosis, treatment planning, and documentation of chest diseases, including lung cancer, COPD, interstitial lung disease, emphysema, and asthma. Key applications include Lung Bronchoscopy Planning and Lung Volume Reduction, offering insights to optimize care decisions and improve patient outcomes.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered digital biomarkers
- Automated deep learning-based lung and lobe segmentation
- Quantitative CT (QCT) analysis
- 3D reconstruction of CT images
- Detailed quantitative analyses and reports
- Lung Bronchoscopy Planning application
- Lung Volume Reduction application
- Airway analysis
- Parenchymal density analysis
- Streamlined imaging workflow
Use Cases
- Diagnosis of chronic and complex lung diseases (e.g., COPD, ILD, asthma, lung cancer)
- Monitoring progression of lung diseases
- Personalized treatment planning for respiratory conditions
- Procedural planning for bronchoscopy and lung volume reduction
- Supporting clinical trials and therapeutic research
- Documentation of chest diseases
What Physicians Need to Know
Leverage VIDAvision's quantitative CT analysis and 3D reconstructions for enhanced precision in diagnosing and monitoring lung diseases. Utilize the automated path planning and virtual bronchoscopy features to improve confidence and efficiency when planning diagnostic biopsy procedures for peripheral nodules. The detailed reports can aid in optimizing care decisions and patient outcomes.
VIDAvision offers broad integration capabilities with leading EHR and PACS systems, including Epic, Cerner/Oracle Health, Allscripts, AthenaHealth, GE Healthcare PACS, and Philips IntelliSpace. This extensive compatibility facilitates seamless incorporation into existing clinical workflows, enhancing data flow and reducing manual effort. Optional EHR embedding integration further streamlines access at the point of care.
Details
| Category | Oncology AI, Radiology & Imaging AI |
| Pricing | Contact for pricing |
| Deployment | Cloud-based (VIDA Intelligence Platform) |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated VIDAvision (K200990) received 510(k) clearance from the FDA on August 7, 2020. This clearance, including enhancements to its LungPrint solution, incorporates automated deep learning-based lung and lobe segmentation algorithms for improved lung imaging analysis and comprehensive assessment of disease probability and progression. |
| Integrations | |
| EHR | Not specified |
| Specialties | Cardiothoracic Surgery, Pulmonology, Radiology |
What the Web Says
VIDAvision, developed by VIDA Lung, is an AI-powered platform designed to assist in the early detection and management of lung diseases. It leverages advanced imaging analysis to provide quantitative insights into lung health, aiming to improve diagnostic accuracy and personalize treatment plans. Reviews highlight its potential to streamline workflows and offer a more objective assessment of lung conditions.
Overall: PositiveStrengths
- AI-powered quantitative analysis of lung imaging
- Aids in early detection and management of lung diseases
- Potential for improved diagnostic accuracy
- Supports personalized treatment planning
- Streamlines workflow for healthcare professionals
- Objective assessment of lung conditions
Limitations
- Relatively new technology, long-term impact still being evaluated
- Integration challenges with existing healthcare IT systems
- Cost of implementation and ongoing subscriptions
- Reliance on high-quality imaging data for accurate results
- Potential for over-reliance on AI, overlooking clinical judgment
- Limited independent reviews from a wide range of physicians currently available
Based on reviews from: VIDA Lung Official Website, Healthcare IT News, Radiology Today, Medical Device Network, LinkedIn (professional discussions), Company press releases
Last updated: 2026-07-20
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