Warsaw, Poland

Kamil Rzechowski

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignees: Exini Diagnostics Ab, Progenics Pharmaceuticals, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kamil Rzechowski. Retrieved from https://idiyas.com/inventor/kamil-rzechowski

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

Calculating rank
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: Kamil Rzechowski and AI-Assisted Cancer Imaging

Introduction

Kamil Rzechowski is an inventor associated with Warsaw, Poland. His work includes a patent describing the use of artificial intelligence to analyze primary tumor images and predict metastases.

Latest Patents

Rzechowski is associated with 1 patent, titled “Systems and Methods for AI-Assisted Analysis of Primary Tumor Images for Prediction of Metastases.” The invention describes using automatically identified suspect regions, or hotspots, in prostate medical images—such as PET, CT, or PET/CT scans—to predict whether localized disease has developed or may develop into metastatic cancer. It uses a convolutional neural network to support this analysis.

Career Highlights

The provided career information lists Progenics Pharmaceuticals, Inc. and Exini Diagnostics AB among the companies where Rzechowski has worked. These organizations are associated with pharmaceutical and medical diagnostic technologies.

Collaborations

His listed company affiliations provide context for his work at the intersection of medical imaging, diagnostics, and computational analysis. The available information does not specify particular collaborators or the roles each organization played in developing the patent.

Conclusion

Kamil Rzechowski’s patent focuses on applying convolutional neural networks to prostate imaging to help predict cancer metastases, reflecting an intersection of medical diagnostics and AI.

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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