Columbus, OH, United States of America

Vadim Valerievich Fedorov

This inventor holds 1 USPTO granted patent. Top assignees: Skolkovo Institute of Science and Technology, The Ohio State University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Vadim Valerievich Fedorov. Retrieved from https://idiyas.com/inventor/vadim-valerievich-fedorov

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Vadim Valerievich Fedorov and AI-Assisted Cardiac Arrhythmia Detection.

Introduction

Vadim Valerievich Fedorov is an inventor associated with Columbus, Ohio. His patent work focuses on using artificial intelligence and optical mapping to help locate sources of cardiac arrhythmias.

Latest Patents

Fedorov is associated with 1 patent, titled “Artificial Intelligence Trained with Optical Mapping to Improve Detection of Cardiac Arrhythmia Sources.” The invention describes methods and systems that use electrogram signals from a patient’s heart and a pre-trained AI model to predict the location of an arrhythmia source. To train the model, researchers collect electrogram signals from explanted human hearts and pair them with co-registered functional or structural imaging data that identifies arrhythmia sources. This approach is designed to improve the model’s ability to identify where an arrhythmia originates.

Career Highlights

Fedorov’s listed affiliations include the Skolkovo Institute of Science and Technology and The Ohio State University. His patent reflects work at the intersection of cardiac research, imaging, and artificial intelligence.

Collaborations

His listed coworkers include Brian Hansen and Alexander Markovich Zolotarev. The patent’s described approach brings together electrode-based signal acquisition, imaging, and AI modeling to support cardiac arrhythmia research.

Conclusion

Vadim Valerievich Fedorov’s patent work applies AI trained with electrogram and imaging data to the challenge of locating cardiac arrhythmia sources.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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