Riverside, IL, United States of America

Terrieann Vyborny, Legal Representative


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2010

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1 patent (USPTO):Explore Patents

Title: Terrieann Vyborny: Innovator in Medical Image Analysis

Introduction

Terrieann Vyborny is a notable inventor and legal representative based in Riverside, IL. He has made significant contributions to the field of medical imaging through his innovative patent. His work focuses on enhancing the interpretation of medical images, which is crucial for accurate diagnoses.

Latest Patents

Terrieann Vyborny holds a patent for a "Method, system, and medium for prevalence-based computerized analysis of medical images and information." This invention provides a method for computer-assisted interpretation of medical images that takes into account the characteristics of the individual performing the interpretation. The system automatically determines and incorporates prevalence-based computer analysis based on the estimated likelihood of a pathological state, such as malignancy. The method includes calculating features of images in a known database, assessing features of an unknown case, and determining the probability of disease state. The output reflects the internal decision-making process of the user or group of users.

Career Highlights

Terrieann Vyborny is affiliated with the University of Chicago, where he contributes to advancements in medical technology. His expertise in legal representation complements his innovative work in medical imaging, allowing him to navigate the complexities of patent law effectively.

Collaborations

Some of his notable coworkers include Karla Horsch and Maryellen L Giger, who are also involved in the field of medical imaging and contribute to collaborative research efforts.

Conclusion

Terrieann Vyborny is a distinguished inventor whose work in medical image analysis has the potential to significantly impact healthcare. His innovative approach to computer-assisted interpretation of medical images showcases the importance of integrating technology with medical practices.

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