Kirkland, WA, United States of America

Kevin Goodwin


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2021-2024

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2 patents (USPTO):Explore Patents

Title: Kevin Goodwin: Innovator in Ultrasound Image Recognition

Introduction

Kevin Goodwin is a notable inventor based in Kirkland, WA (US). He has made significant contributions to the field of ultrasound imaging through his innovative patents. With a total of 2 patents to his name, Goodwin is recognized for his advancements in artificial intelligence applications within medical imaging.

Latest Patents

Kevin Goodwin's latest patents focus on ultrasound image recognition systems and methods utilizing an artificial intelligence network. These patents provide a comprehensive ultrasound data information system that includes an ultrasound image recognition training network. This network is designed to receive ultrasound training images and develop ultrasound image knowledge based on the received data. The ultrasound imaging device acquires images of a patient and includes an ultrasound image recognition module. This module is configured to assess whether the acquired images represent a clinically desirable view of an organ, indicating normal function or a specific pathology. The system also allows for the transmission of received images back to the training network for further development of updated ultrasound image knowledge.

Career Highlights

Kevin Goodwin is currently employed at Echonous, Inc., where he continues to push the boundaries of ultrasound technology. His work is instrumental in enhancing the accuracy and efficiency of ultrasound imaging, which is crucial for patient diagnosis and care.

Collaborations

Goodwin collaborates with talented professionals in his field, including Nikolaos Pagoulatos and Ramachandra Pailoor. Their combined expertise contributes to the innovative projects at Echonous, Inc.

Conclusion

Kevin Goodwin is a pioneering inventor whose work in ultrasound image recognition is shaping the future of medical imaging technology. His contributions are vital for improving diagnostic capabilities in healthcare.

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