Auckland, New Zealand

Matthew Carter

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Mako Surgical Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Matthew Carter. Retrieved from https://idiyas.com/inventor/matthew-carter-y9y25glc

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

USPTO Granted Patents = 1 

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: Matthew Carter and Surgical Joint-Balancing Innovation.

Introduction

Matthew Carter is an inventor based in Auckland, New Zealand. His patent work concerns technology intended to support planning in knee arthroplasty.

Latest Patents

Carter is associated with one patent, Systems and Methods for Joint Balancing. The invention describes a balancer algorithm that identifies target solutions based on surgeon preferences and can generate a suggested final implant plan from a predetermined range. For knee arthroplasty, the algorithm can help determine bone resection depths, bone gaps, implant angulations, and potential soft-tissue releases. Its inputs may include preoperative data, intraoperative data, and surgeon preference data.

Career Highlights

Carter is associated with Mako Surgical Corporation. His listed patent work applies algorithmic planning to surgical decision-making, with the aim of helping surgeons evaluate implant plans and related procedural parameters. His record includes 1 patent.

Collaborations

Matthew L. Walker and Xiangyi Liu are identified as Carter’s coworkers. Their shared professional context is associated with Mako Surgical Corporation and the development of surgical technologies.

Conclusion

Matthew Carter’s patent work focuses on algorithm-assisted joint balancing for knee arthroplasty, connecting surgical data and surgeon preferences with implant planning.

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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