Rescue, CA, United States of America

Christina Carr

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Christina Carr. Retrieved from https://idiyas.com/inventor/christina-carr

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

Calculating rank

Average Co-Inventor Count = 1.0

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Christina Carr: Innovator in Radiology AI

Introduction

Christina Carr is a pioneering inventor based in Rescue, CA (US). She has made significant contributions to the field of radiology through her innovative work in artificial intelligence. Her research focuses on improving the efficiency and accuracy of radiological examinations.

Latest Patents

Christina holds 1 patent for her invention titled "Artificial intelligence for alleviating cherry-picking in radiology." This system is designed to receive radiology data, outcome data for various exams, and elapsed time data for those exams. It trains a machine learning algorithm to identify exams that may be subject to cherry-picking, thereby enhancing the reliability of radiological assessments.

Career Highlights

Christina is currently employed at International Business Machines Corporation, commonly known as IBM. Her role at IBM allows her to leverage her expertise in artificial intelligence to develop solutions that address critical challenges in the healthcare sector.

Collaborations

Some of Christina's notable coworkers include Dustin Michael Sargent and Sun Young Park. Their collaborative efforts contribute to the advancement of technology in radiology and artificial intelligence.

Conclusion

Christina Carr is a remarkable inventor whose work in artificial intelligence is transforming the field of radiology. Her innovative patent demonstrates her commitment to improving healthcare outcomes through technology.

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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