Vascular Assist Occlusion Triage (VAOT)
Overview
Vascular Assist Occlusion Triage (VAOT) is an AI-enabled medical device designed to assist radiologists in the rapid identification and prioritization of vascular occlusions. Developed by GuideAI Health, this tool leverages advanced artificial intelligence algorithms to analyze medical images, specifically focusing on detecting signs indicative of vascular blockages.
The primary goal of VAOT is to enhance the efficiency and accuracy of radiological triage in emergency settings. By providing an automated analysis, the system aims to reduce the time to diagnosis for critical conditions such as strokes or pulmonary embolisms, where timely intervention is paramount for patient outcomes. Physicians can integrate VAOT into their existing imaging workflows to augment their diagnostic capabilities.
VAOT is intended to serve as a supplementary tool, providing decision support rather than replacing the expertise of a qualified radiologist. It highlights potential areas of concern, allowing radiologists to focus their attention more effectively and potentially expedite the diagnostic process for patients presenting with symptoms of vascular occlusion.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered vascular occlusion detection
- Radiological image analysis
- Triage prioritization
- Integration with existing PACS/RIS
- Decision support for radiologists
- Rapid identification of critical conditions
Use Cases
- Expediting stroke diagnosis
- Assisting in pulmonary embolism detection
- Prioritizing emergency radiology reads
- Improving workflow efficiency in vascular imaging
- Supporting diagnosis of acute vascular events
What Physicians Need to Know
VAOT is a triage and notification tool, not a diagnostic one. Always confirm findings with a full review of the imaging study and integrate the alerts into your existing workflow for prioritizing cases. Remember that the device is intended to improve workflow efficiency by flagging potential occlusions, but the ultimate diagnostic and treatment decisions remain with the trained medical specialist.
VAOT is designed to integrate into hospital networks and existing imaging workflows. It sends notifications, potentially with compressed preview images, back to a Gateway, embeds them into a DICOM Secondary Capture, and routes them to the PACS. This allows for seamless incorporation into the radiologist's reading queue without altering original medical images or removing cases from worklists.
Details
| Category | Clinical Decision Support & Reference, Radiology & Imaging AI, Triage & ER/ICU AI |
| Pricing | Unknown — unknown |
| Deployment | Cloud-based, integrates seamlessly with existing imaging workflows (PACS). |
| Target Size | Hospitals, radiology groups, and specialty practices. |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
Cleared AI-estimated VascularAssist Occlusion Triage (VAOT) received FDA 510(k) clearance in June 2026 as a Class II Software as a Medical Device (SaMD). It is cleared for triage and notification of suspected peripheral arterial occlusion in lower-extremity CT scans. |
| Integrations | |
| EHR | Not specified |
| Specialties | Cardiology, Emergency Medicine, Neurology, Radiology |
Social Proof
| Customers | unknown |
| Notable | unknown |
What the Web Says
Vascular Assist Occlusion Triage (VAOT) is an AI-powered software designed by GuideAI Health to identify and prioritize peripheral vascular disease (PVD) in lower-extremity CT scans. It functions as a Computer-Aided Triage and Notification (CADt) device, integrating into existing radiology workflows to help radiologists quickly flag and review potential cases of vascular occlusion. The software aims to reduce the time to diagnosis and intervention for patients at risk of acute or chronic limb ischemia. VAOT received FDA 510(k) clearance in June 2026, demonstrating robust accuracy with a patient-level sensitivity of 95% for 2D analysis and 94% for 3D analysis in identifying Peripheral Artery Disease with at least 50% stenosis.
Overall: PositiveStrengths
- Enhances early detection and prioritization of peripheral vascular disease.
- Integrates seamlessly with existing imaging workflows, requiring no new viewer or parallel queue.
- Aims to reduce time to diagnosis and intervention for at-risk patients.
- Demonstrated high accuracy in clinical performance evaluations (95% sensitivity for 2D, 94% for 3D).
- FDA 510(k) cleared, providing a regulatory pathway for commercial deployment.
- Built by interventional radiologists to reflect how vascular reads are actually performed.
Limitations
- Regulatory clearance does not guarantee commercial adoption.
- Specific physician, healthcare IT, or tech reviewer opinions are not yet widely available due to its recent FDA clearance and market entry.
- No specific reviews or discussions found on Reddit, G2, or Capterra for VAOT itself (general discussions on vascular occlusion or AI in healthcare were found but not specific to VAOT).
- The commercial opportunity depends on integration into hospital systems, radiology workflows, and reimbursement structures.
Based on reviews from: GuideAI Health Achieves FDA Clearance for AI-Based Vascular Triage Software, GuideAI Health (Cboe Canada:GDAI) Rises 7.14% as FDA-Cleared AI Vascular Software and Commercial Expansion Put Stock in Focus - Kalkine CA, Vascular Assist Occlusion Triage (VAOT) (v1.0) (K260729) u2014 FDA 510(k) | Innolitics, Detect peripheral arterial disease earlier u2014 GuideAI Health, GuideAI Health secures FDA clearance for vascular disease software - AuntMinnie
Last updated: 2026-09-24
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