This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Pacesetter, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Kevin Davis - Innovator in Medical Device Technology
Introduction
Kevin Davis is a prominent inventor based in Thousand Oaks, California. He has made significant contributions to the field of medical technology, particularly in the development of systems that enhance the management of medical data and diagnostics.
Latest Patents
Kevin Davis holds a patent for an "Implantable medical device data and diagnostics management system method using machine-learning architecture." This innovative system processes classified electrogram (EGM) datasets, which correspond to arrhythmic episodes detected by implantable medical devices (IMDs). The server system receives transmissions of these datasets and applies a machine-learning model to determine confidence indicators related to the IMD classification for each episode. Based on these indicators, the system generates machine-adjudicated EGM datasets, assigns ranking scores, and selects subsets for clinical analysis. Additionally, the system stores these datasets in a database for further processing to generate diagnostic information and alerts over time. It may also facilitate the reprogramming of the IMD to enhance its performance.
Career Highlights
Kevin Davis is currently employed at Pacesetter, Inc., where he continues to innovate in the medical device sector. His work focuses on improving the accuracy and efficiency of medical diagnostics through advanced technology.
Collaborations
Kevin collaborates with talented professionals in his field, including Aditya Goil and Elnaz Lashgari. Their combined expertise contributes to the development of cutting-edge medical technologies.
Conclusion
Kevin Davis is a key figure in the advancement of medical device technology, with a focus on utilizing machine learning to improve patient diagnostics. His contributions are paving the way for more effective medical solutions.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile