Los Gatos, CA, United States of America

Xavier Amatriain

USPTO Granted Patents = 2 

Average Co-Inventor Count = 9.9

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2020-2024

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2 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Xavier Amatriain

Introduction

Xavier Amatriain is a notable inventor based in Los Gatos, CA. He has made significant contributions to the field of healthcare technology through his innovative patents. With a total of 2 patents, Amatriain's work focuses on enhancing the way healthcare inquiries are addressed using advanced machine learning techniques.

Latest Patents

Amatriain's latest patents include "Ensemble machine learning systems and methods" and "Systems and methods for responding to healthcare inquiries." The first patent outlines techniques for responding to healthcare inquiries from users. It describes a method that classifies the user's intent based on their inquiry, instantiates a conversational engine, elicits information from the user, and presents medical recommendations based on the gathered information. The second patent similarly focuses on healthcare inquiries, specifically identifying dermatological needs. It involves soliciting images from users, classifying the images to identify dermatological diseases, and providing medical recommendations based on the findings.

Career Highlights

Xavier Amatriain is currently employed at Curai, Inc., where he continues to develop innovative solutions in healthcare technology. His work is instrumental in bridging the gap between technology and healthcare, making medical advice more accessible to users.

Collaborations

Amatriain collaborates with talented professionals such as Anitha Kannan and Murali Ravuri. Together, they contribute to the advancement of healthcare technologies and improve user experiences in medical inquiries.

Conclusion

Xavier Amatriain's contributions to healthcare technology through his patents demonstrate his commitment to innovation. His work not only enhances the efficiency of healthcare inquiries but also showcases the potential of machine learning in improving medical outcomes.

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