Volta AF-Xplorer
Overview
Volta AF-Xplorer is an AI-assisted mapping and decision-support system developed by Volta Medical for use during electrophysiology (EP) ablation procedures. It is specifically designed for the assessment and treatment of complex atrial fibrillation (AF) and atrial tachycardia (AT). The system leverages machine and deep learning algorithms to automatically detect and annotate dispersed electrograms (EGMs) in near real-time, which are indicative of arrhythmia’s drivers. It integrates seamlessly with most existing EP recording systems, 3D mapping/navigation systems, and mapping catheters, offering an intuitive workflow for electrophysiologists. The latest iteration, Volta AF-Xplorer II, further enhances analysis stability and expands compatibility with advanced catheters and recording systems like GE HealthCare’s CardioLab AltiX AI. The technology aims to standardize ablation strategies and improve clinical outcomes for patients with complex cardiac arrhythmias.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-assisted mapping and decision-support system for EP ablation procedures
- Real-time detection and annotation of dispersed electrograms (EGMs)
- Automated tagging of regions of interest (with compatible mapping systems like EnSite Xu2021)
- Dispersion Indicator with color-coded electrogram dispersion levels (Red: highly dispersed, Orange: dispersed, Blue: non-dispersed)
- Compatibility with most EP recording, 3D navigation systems, and mapping catheters (including PFA catheters)
- Booster Mode to increase software sensitivity during Atrial Tachycardia (AT) or slow Atrial Fibrillation (AF)
- Estimation of Reference Cycle Length and Mapping Cycle Length from real-time recordings
- Simple User Interface for Real-Time Regions of Interest Identification
- High stability analysis for dispersion time and intensity (Volta AF-Xplorer II)
- Integration with GE HealthCare CardioLab AltiX AI recording system for streamlined workflow (Volta AF-Xplorer II)
Use Cases
- Assessment of complex Atrial Fibrillation (AF) during ablation procedures
- Assessment of Atrial Tachycardia (AT) during ablation procedures
- Guiding catheter ablation procedures for persistent and long-standing AF
- Real-time identification of spatio-temporal dispersed electrograms (EGMs)
- Improving clinical outcomes for patients with cardiac arrhythmias
- Standardizing electrogram-based ablation outcomes
What Physicians Need to Know
Volta AF-Xplorer offers electrophysiologists a powerful AI-driven tool to objectively identify and target dispersed electrograms, which are implicated as drivers of atrial fibrillation, particularly in complex and persistent AF cases. This real-time guidance can standardize ablation strategies, enhance procedural precision, and potentially improve long-term patient outcomes, as demonstrated by the TAILORED-AF trial. The system aims to streamline workflow and reduce cognitive load during complex ablation procedures, allowing for more efficient and consistent treatment.
Volta AF-Xplorer is designed for broad compatibility within the electrophysiology lab. It integrates with most popular EP recording and 3D navigation systems, including GE HealthCare's CardioLab AltiX AI.i and Abbott Laboratories' EnSite X mapping system. This allows for features like automatic tagging of regions of interest and a unified workspace. The system also supports a wide range of mapping and ablation catheters, such as the Medtronic Sphere-9, ensuring flexibility in clinical practice.
Details
| Category | Cardiology AI, Surgical AI |
| Pricing | Contact for pricing |
| Deployment | Software, integrated with existing electrophysiology lab hardware (e.g., EP recording systems, 3D navigation systems, mapping catheters). |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
Yes AI-estimated Volta AF-Xplorer is FDA cleared. The original VX1 system received FDA clearance in September 2020. The Volta AF-Xplorer (K243812) and the newer Volta AF-Xplorer II (K251518) are cleared to assist operators in the real-time manual or automatic annotation of 3D anatomical and electrical maps of human atria for the presence of multipolar intra-cardiac atrial electrograms exhibiting spatiotemporal dispersion during atrial fibrillation or atrial tachycardia. |
| Integrations | |
| EHR | Not specified |
| Specialties | Cardiology |
What the Web Says
Volta AF-Xplorer is an AI-assisted mapping and decision-support system used in electrophysiology (EP) ablation procedures for atrial fibrillation (AF) and atrial tachycardia (AT). It identifies dispersed electrograms (EGMs) in near real-time, which are believed to be drivers of AF. The system aims to standardize EGM interpretation and improve outcomes for complex AF patients, particularly those with persistent and long-standing AF.
Overall: PositiveStrengths
- Improved signal quality and clarity, potentially reducing evaluation time.
- Simplifies setup and streamlines the mapping process.
- Demonstrated superior efficacy in treating persistent and long-standing AF compared to conventional ablation alone.
- Compatible with major mapping catheters, navigation systems, and recording systems, allowing physicians to use their preferred tools.
- Provides real-time identification of spatio-temporal dispersion areas, enhanced with advanced dispersion stability analysis.
- Potential for improved outcomes in challenging patient populations, such as those with recurrent AF despite previous ablations.
Limitations
- AI-guided ablation procedures may require longer procedural times.
- The technology is not separately reimbursed, requiring Volta to demonstrate cost-effectiveness or other advantages for widespread adoption.
- Some Reddit discussions about ablation experiences, while not specific to Volta AF-Xplorer, highlight potential post-procedure pain and recovery challenges.
Based on reviews from: Elion, HMP Global Learning Network, BioWorld, PR Newswire, BioSpace, TipRanks.com, AI in Medicine Journal Club, Cardiac Rhythm News, Fierce Biotech, accessdata.fda.gov, Reddit
Last updated: 2026-07-20
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