Viz RV/LV
Overview
Viz RV/LV is a software-only device developed by Viz.ai, designed to automatically measure the maximal diameters of the right and left ventricles of the heart from a volumetric CTPA (Computed Tomography Pulmonary Angiogram) acquisition and report their ratio. This artificial intelligence (AI) algorithm accurately identifies the location and measurements of the ventricles and provides users with annotated images to visualize these measurements.
As a seamless component of the broader Viz PE Solution, Viz RV/LV aids in the detection of suspected central and segmental pulmonary emboli. Its integration enables an automated assessment of potential right ventricle dilation, a critical patient risk indicator for pulmonary embolism severity. The overarching Viz.ai One platform leverages over 50 FDA-cleared AI algorithms to accelerate diagnosis, streamline clinical workflows, and facilitate faster treatment decisions across various acute care settings, including seamless integration with EHR and PACS solutions.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Automated Right Ventricle (RV) to Left Ventricle (LV) ratio measurement
- Analysis of volumetric CTPA acquisitions
- AI algorithm for identification and measurement of heart ventricles
- Provides annotated images showing ventricular measurements
- Seamless component of the Viz PE Solution for suspected pulmonary embolism detection
- AI-powered alerts and notifications to care teams
- High-fidelity mobile DICOM image viewer
- HIPAA-compliant communication platform for care coordination
- Integration with EHR and PACS solutions
- Over 50 FDA-cleared AI algorithms on the Viz.ai One platform
Use Cases
- Early detection and risk stratification of pulmonary embolism (PE)
- Expediting treatment decisions for PE patients by assessing right heart strain
- Facilitating rapid multidisciplinary communication and care coordination for PE
- Automated assessment of potential right ventricle dilation in PE cases
- Improving diagnostic acumen and expediting care for acute pulmonary embolism
- Streamlining clinical workflows and reducing delays in acute care settings
What Physicians Need to Know
Viz RV/LV provides rapid, automated assessment of the RV/LV ratio from CTPA scans, which is crucial for quickly identifying right heart strain in patients with suspected pulmonary embolism (PE) and facilitating timely risk stratification. While the AI offers expedited insights and alerts, clinicians should always review non-compressed images on a diagnostic viewer and integrate these findings with comprehensive patient evaluation and clinical judgment, as the results are not intended for stand-alone clinical decision-making. Leverage the integrated communication tools to streamline multidisciplinary team collaboration for efficient treatment planning.
Viz RV/LV operates as part of the Viz.ai platform, analyzing CTPA scans forwarded to Viz.ai's Backend Server. The analysis results, including annotated images and summary reports, are exported in DICOM format and sent to a PACS destination for review. The broader Viz Cardio Suite supports patient data acquisition through CVIS and EHR integration, and the Viz.ai platform integrates directly into existing PACS, enhancing workflow and care coordination across departments. Communication among care teams is facilitated via a HIPAA-compliant platform.
Details
| Category | Cardiology AI, Clinical Decision Support & Reference, Radiology & Imaging AI |
| Pricing | Not publicly available — N/A |
| Deployment | Cloud-based |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated The Viz RV/LV Software device received U.S. Food and Drug Administration (FDA) 510(k) clearance (K221100) on August 29, 2022. It is designed to measure the maximal diameters of the right and left ventricles of the heart from a volumetric CTPA acquisition and report the ratio of those measurements. The results are not intended to be used on a stand-alone basis for clinical decision-making. |
| Integrations | |
| EHR | Not specified |
| Specialties | Emergency Medicine, Pulmonology, Radiology |
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