In the ever-changing world of healthcare, VoltaPlex is a catalyst for tailored electrophysiology solutions.
At the roots of VoltaPlex is a commitment to accuracy and innovation. VoltaPlex aims to capture rich EP lab data via collaboration with data inspired centers. This raw data undergoes meticulous curation by expert electrophysiologists, forming a plexus of insights that are integrated into our AI algorithms.
This approach allows Volta’s algorithms to continue to evolve and to feed a pipeline of advanced EP solutions.
Medical data is sensitive and requires the implementation of adequate technical and organizational measures to ensure its security.
Machine learning and deep-learning models require medical datasets with sufficient size and accuracy. Data quality is hard to define and project dependent.
Peri-procedural data comes from multiple sources. Lack of standardization in how medical data is stored and formatted.
Annotation, curation, and validation of medical data requires a high-level of expertise.
Representativeness of the data used to train the models is critical to avoid bias.
To ensure adoption, involvement of the different stakeholders from the development phase is critical and clinical evidence is key.
All data collected for research purposes is pseudonymized. All Volta team is fully committed to collect and process personal data in compliance with the applicable data protections regulations.
Our algorithms have been trained on very large databases of intracardiac signals, carefully annotated by expert physicians.
Our database is continuously enriched with new procedural data that allows us to further improve our AI solutions.
