This inventor holds 1 USPTO granted patent and 1 published patent application. 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: Nicole Jane Rebecca Hakim: Advancing AI-Based Detection of Low Ejection Fraction.
Introduction
Nicole Jane Rebecca Hakim is an inventor associated with Miami, Florida, and Tempus AI, Inc. Her patent work focuses on applying artificial intelligence to electrocardiogram data to identify patients who may have low ejection fraction.
Latest Patents
Hakim is named on 1 patent: “Detecting Low Ejection Fraction from Electrocardiogram Data Using Artificial Intelligence.” The disclosed approach processes a patient’s ECG data with multiple trained AI models, each of which produces a low-EF score. The scores are combined into an overall score, which is compared with a patient-specific operating-point threshold based on patient characteristics. The comparison supports a prediction of whether the patient has low ejection fraction.
Career Highlights
Hakim’s listed patent reflects work at the intersection of artificial intelligence and cardiac assessment. By combining outputs from multiple models and tailoring the decision threshold to patient characteristics, the technique describes a structured approach to interpreting ECG data for low-EF prediction.
Collaborations
Hakim is associated with Tempus AI, Inc. Her listed coworker is Riccardo Miotto.
Conclusion
Nicole Jane Rebecca Hakim’s patent highlights an AI-based method for using ECG data to predict low ejection fraction, with potential relevance to data-driven cardiac assessment.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile