This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Tempus Ai, 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: David Michael Vidmar: Advancing AI-Based Detection of Low Ejection Fraction
Introduction
David Michael Vidmar is an inventor based in Florence, Massachusetts. His work includes an invention that applies artificial intelligence to electrocardiogram data to help identify patients who may have low ejection fraction.
Latest Patents
Vidmar is associated with 1 patent, titled “Detecting Low Ejection Fraction from Electrocardiogram Data Using Artificial Intelligence.” The invention describes obtaining a patient’s ECG data and providing it to multiple trained AI models. Each model produces a low-EF score, and the scores are combined into an overall assessment. The system also determines an operating-point threshold based on patient characteristics, compares the overall score with that threshold, and uses the comparison to make a low-EF prediction.
Career Highlights
Vidmar works at Tempus AI, Inc. His patent reflects an application of AI to ECG analysis, with the aim of supporting the identification of low ejection fraction from patient data.
Collaborations
The provided information lists John Pfeifer and RuiJun Chen as Vidmar’s coworkers. Their specific roles in the patent or related work are not specified.
Conclusion
David Michael Vidmar’s patent describes a multi-model AI approach to assessing ECG data and predicting low ejection fraction, connecting his work at Tempus AI, Inc. with innovation in medical data analysis.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile