Montpellier, France

Nicolas Le Borgne

This inventor holds 1 USPTO granted patent. Top assignees: Acusurgical, Centre National De La Recherche Scientifique, Universitè De Montpellier. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Nicolas Le Borgne. Retrieved from https://idiyas.com/inventor/nicolas-le-borgne

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


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Nicolas Le Borgne and Patient-Safety Technology for Eye Surgery.

Introduction

Nicolas Le Borgne is an inventor associated with Montpellier, France. His work includes a patent for a system designed to help secure patients during robotic eye surgery.

Latest Patents

The supplied information lists one patent for Nicolas Le Borgne: “System for Securing a Patient Suitable for Eye Surgery.” The invention is intended to work with a robotic platform equipped with a surgical instrument for eye surgery. It uses ocular sensors to detect eye movement and/or cephalic sensors to detect head movement. A data-processing system evaluates the sensor data against a predetermined criterion, determines the patient’s risk level, and automatically sends the robotic platform a corresponding command to secure the patient.

Career Highlights

Le Borgne is associated with the Centre National de la Recherche Scientifique and the University of Montpellier. His listed patent addresses patient monitoring and safety in robotic-assisted eye surgery.

Collaborations

The supplied information identifies Christoph Spuhler and Yassine Haddab as Le Borgne’s coworkers.

Conclusion

Nicolas Le Borgne’s listed invention combines movement sensing and automated risk assessment to support patient safety during robotic eye surgery.

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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