Kew Gardens, NY, United States of America

Xiaojin Dong

USPTO Granted Patents = 1 

Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: The Innovations of Xiaojin Dong

Introduction

Xiaojin Dong is an accomplished inventor based in Kew Gardens, NY (US). He has made significant contributions to the field of healthcare technology through his innovative work in machine learning. His expertise lies in developing systems that enhance the accuracy and efficiency of healthcare providers.

Latest Patents

Xiaojin Dong holds a patent for a groundbreaking invention titled "Computer-implemented machine learning for detection and statistical analysis of errors by healthcare providers." This patent focuses on training data pairs that include radiological reports and associated images. The invention utilizes a first encoder network to determine word embeddings for the training text, generating a concept that is regularized by a loss function. Additionally, a second encoder network is employed to determine features for the training image, producing a heatmap that is also regularized. The invention aims to minimize a total loss function that incorporates various losses, ultimately improving diagnostic quality in healthcare.

Career Highlights

Xiaojin Dong is currently employed at Covera Health, Inc., where he continues to innovate in the healthcare technology sector. His work is pivotal in enhancing the quality of healthcare services through advanced machine learning techniques.

Collaborations

Xiaojin has collaborated with notable colleagues, including Ron Vianu and Tarmo Henrik Aijo. These partnerships have contributed to the development of innovative solutions in the healthcare industry.

Conclusion

Xiaojin Dong's contributions to machine learning and healthcare technology exemplify the impact of innovation in improving diagnostic processes. His patent and ongoing work at Covera Health, Inc. highlight his commitment to enhancing healthcare quality through technology.

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