This inventor holds 1 USPTO granted patent. Top assignee: University of Florida Research Foundation 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: Tezcan Ozrazgat Baslanti: Innovator in Patient Prediction Technologies
Introduction
Tezcan Ozrazgat Baslanti is a notable inventor based in Gainesville, FL (US). He has made significant contributions to the field of healthcare technology, particularly in the area of patient prediction systems. His innovative work focuses on utilizing deep learning to enhance the accuracy of acuity scores for critically ill or injured patients.
Latest Patents
Tezcan holds a patent for "Systems and methods for using deep learning to generate acuity scores for critically ill or injured patients." This patent encompasses methods, apparatus, systems, and computer program products designed to provide patient predictions. The technology involves initiating a model for a patient upon receiving an indication of patient interaction. This model, trained using machine learning, generates predictions that include acuity scores or mortality predictions. The system updates the model based on medical data and provides predictions that can be integrated into electronic health records for clinician review.
Career Highlights
Tezcan is affiliated with the University of Florida Research Foundation, Incorporated, where he applies his expertise in developing advanced healthcare solutions. His work is pivotal in improving patient outcomes through innovative technology.
Collaborations
Tezcan collaborates with esteemed colleagues such as Azra Bihorac and Tyler J Loftus, contributing to a dynamic research environment focused on healthcare advancements.
Conclusion
Tezcan Ozrazgat Baslanti's contributions to patient prediction technologies exemplify the intersection of innovation and healthcare. His work not only enhances clinical decision-making but also underscores the importance of deep learning in modern medicine.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
