Daegu, South Korea

Hae Won Kim

This inventor holds 1 USPTO granted patent. Top assignee: Biolink Corporation. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hae Won Kim. Retrieved from https://idiyas.com/inventor/hae-won-kim-pw1kbpjh

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

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% Patents Active = 100.0

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Hae Won Kim - Innovator in Lung Cancer Prediction

Introduction

Hae Won Kim is a prominent inventor based in Daegu, South Korea. She has made significant contributions to the field of medical technology, particularly in the area of lung cancer prediction. Her innovative approach utilizes artificial intelligence to enhance diagnostic capabilities.

Latest Patents

Hae Won Kim holds a patent for a groundbreaking method titled "Method for predicting lung cancer development based on artificial intelligence model, and analysis device therefor." This method involves determining the probability of developing lung cancer by using an artificial intelligence model. The process includes receiving a chest fluorodeoxyglucose (FDG) PET/CT image for a sample, inputting this image into a first classification neural network, and outputting prediction information related to the development of lung cancer. The analysis device predicts the probability of lung cancer development based on this information. The neural network is trained using images from healthy individuals and training images that exclude lung cancer regions from patients.

Career Highlights

Hae Won Kim is currently associated with Biolink Corporation, where she applies her expertise in artificial intelligence and medical imaging. Her work focuses on developing advanced diagnostic tools that can significantly improve early detection of lung cancer.

Conclusion

Hae Won Kim's innovative contributions to lung cancer prediction through artificial intelligence exemplify the potential of technology in transforming healthcare. Her work not only enhances diagnostic accuracy but also paves the way for future advancements in medical 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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