This inventor holds 1 USPTO granted patent. Top assignee: Verb Surgical Inc.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Peijmon Kasravi: Innovator in Surgical Annotation Systems
Introduction
Peijmon Kasravi is an accomplished inventor based in San Jose, CA (US). He has made significant contributions to the field of medical technology, particularly in the development of systems that enhance surgical applications. His innovative work focuses on improving the efficiency and accuracy of machine learning models used in medical contexts.
Latest Patents
Peijmon holds a patent for an "Annotation system for surgical content." This system facilitates the collection of labels for images, videos, or other content items relevant to training machine learning models associated with surgical applications or other medical applications. The annotation system allows an administrator to configure annotation jobs that control the presentation of content items to various participating annotators via an annotation application. This application enables annotators to provide inputs in a simple and efficient manner, such as through gesture-based inputs or by selecting graphical elements associated with different possible labels. Peijmon has 1 patent to his name.
Career Highlights
Peijmon is currently employed at Verb Surgical Inc., where he continues to push the boundaries of innovation in surgical technology. His work is instrumental in bridging the gap between machine learning and practical medical applications, making surgical procedures safer and more effective.
Collaborations
Peijmon collaborates with talented individuals such as Nishant Shailesh Sahni and Darrick Tyler Sturgeon. Their combined expertise contributes to the advancement of surgical technologies and enhances the overall impact of their projects.
Conclusion
Peijmon Kasravi is a notable inventor whose work in surgical annotation systems exemplifies the intersection of technology and medicine. His contributions are paving the way for more efficient training of machine learning models in the medical field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
