Mountain View, CA, United States of America

Joëlle K Barral

USPTO Granted Patents = 39 

 

Average Co-Inventor Count = 2.5

ph-index = 7

Forward Citations = 712(Granted Patents)


Company Filing History:


Years Active: 2017-2025

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39 patents (USPTO):

Title: Innovations and Contributions of Joëlle K Barral in Surgical Technology

Introduction

Joëlle K Barral, based in Mountain View, CA, is a distinguished inventor with an impressive portfolio of 38 patents. Her groundbreaking work primarily focuses on surgical simulations, significantly advancing training methodologies in surgical techniques.

Latest Patents

Among her notable recent patents, Joëlle developed a "Surgical Simulator Providing Labeled Data," which features a sophisticated display system and user interface driven by a controller with one or more processors. This simulator generates realistic surgical videos representative of various surgical scenarios while associating simulated ground truth data to enhance the training of machine learning models. Additionally, her "Method for Comparing Videos of Surgical Techniques" innovates the way surgical procedures are analyzed by comparing multiple videos to identify and standardize surgical steps across different procedures.

Career Highlights

Joëlle is currently employed at Verily Life Sciences LLC, where she continues to contribute to the fields of healthcare and medical technology through her innovative inventions. Her extensive experience and creativity have played a critical role in the evolution of surgical training and simulation technologies.

Collaborations

Throughout her career, Joëlle has collaborated with eminent professionals, including her coworkers Martin Habbecke and Blake Hannaford. These collaborations have fostered an environment of innovation and excellence, leading to notable advancements in their field.

Conclusion

Joëlle K Barral's contributions to surgical simulation and training technologies highlight her role as a pivotal innovator in the medical field. Her patents not only enhance the effectiveness of surgical training but also pave the way for the integration of machine learning in medical education, positioning her as a leader in the intersection of technology and healthcare.

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