Congratulations, Anurag: Co-Inventor on a Published U.S. Patent Application

The USPTO has published a patent application naming our VP of MedTech as a co-inventor: a design that lets external applications, including AI, plug into an ultrasound system without changing the device's own software.

  • Ultrasound
  • MedTech
  • Healthcare AI
Congratulations, Anurag: Co-Inventor on a Published U.S. Patent Application

The USPTO has published patent application US 2026/0331277 A1 naming Anurag Velekkatt Sunil Kumar, Project Manager and VP of MedTech at Qscription Technologies, as a co-inventor. What the application describes, the problem it addresses, and why it matters for AI adoption in imaging.

We are proud to congratulate Anurag Velekkatt Sunil Kumar, Project Manager and VP of MedTech at Qscription Technologies, on a milestone from his engineering career.

On October 22, 2026, the U.S. Patent and Trademark Office published patent application US 2026/0331277 A1, "Enhancing Ultrasound Diagnostics System Using External Application." Anurag is named as a co-inventor, alongside Michael Washburn and Kazuaki Okamoto. The applicant and assignee is GE Precision Healthcare LLC, and the application was filed on April 17, 2025.

Read the published application on the USPTO site (no account needed): US 2026/0331277 A1

What the application describes

The application describes a way for an ultrasound system to work with external applications, such as image processing, pathology detection or AI, that run on a remote computer. The ultrasound system sends its image data over a network in real time. The remote application processes it, and the result appears on the ultrasound system's own screen. The operator can then view and control that application directly from the ultrasound system.

The problem it addresses

As the application explains, adding third-party software to a medical imaging device usually means changing the device's own software, which adds development cost and re-registration burden. The application describes an approach where the device does not have to change its software to use different external applications.

Why it matters

For hospitals, the hard part of adopting AI is often integration, not the algorithm. A design that lets new tools plug into the imaging workflow without rebuilding the device speaks to what we see across the industry.

It also reflects Anurag's background: years at GE HealthCare as a Staff Engineer working on PACS integration and AI-driven imaging workflows, now applied at Qscription to help MedTech AI companies reach U.S. hospitals.

The application is still under examination by the USPTO, but publication is a notable step, and it puts the invention on the public record with Anurag's name on it.

Congratulations, Anurag. Glad to have you on the team.

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