Gyeonggi-do, South Korea

Ubaid Ur Rehman

This inventor holds 1 USPTO granted patent. Top assignee: University-Industry Cooperation Group of Kyung Hee University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ubaid Ur Rehman. Retrieved from https://idiyas.com/inventor/ubaid-ur-rehman

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

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Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Ubaid Ur Rehman: Innovator in Medical Decision Support Systems

Introduction

Ubaid Ur Rehman is a notable inventor based in Gyeonggi-do, South Korea. He has made significant contributions to the field of medical technology, particularly in developing systems that support medical decision-making. His innovative approach combines advanced neural learning techniques with practical applications in healthcare.

Latest Patents

Ubaid Ur Rehman holds a patent for an "Apparatus and methods for supporting medical decisions." This invention includes a visual and linguistic neural learner that processes medical images to extract visual embeddings. It also features a cause miner that identifies predetermined indices based on these embeddings, ultimately generating a medical report and providing answers to user inquiries about medical images.

Career Highlights

Ubaid is affiliated with the University-Industry Cooperation Group of Kyung Hee University, where he collaborates with other experts in the field. His work focuses on integrating artificial intelligence with medical practices to enhance decision-making processes in healthcare.

Collaborations

Ubaid has worked alongside notable colleagues such as Sung Young Lee and Hao Hua-cam. Their combined expertise contributes to the advancement of medical technologies and decision support systems.

Conclusion

Ubaid Ur Rehman is a pioneering inventor whose work in medical decision support systems exemplifies the intersection of technology and healthcare. His contributions are paving the way for more effective medical practices and improved patient outcomes.

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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