Patents by Inventor Timothy Braatz

Timothy Braatz has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Systems and methods of radiology report processing and display
    Patent number: 12224047
    Abstract: Systems and methods for identifying and presenting prior findings data in a radiology review workflow, based on natural language processing (NLP) of unstructured radiology report text, are disclosed. In an example, prior findings are generated with operations including: receiving text from a prior radiology report prepared for a patient in a prior radiology study; processing the text with a trained NLP engine to classify discrete prior findings in the prior radiology study that identify observed condition(s) and characteristics of the observed condition(s); and outputting or presenting the prior findings, such as in a radiology review user interface. In an example, the radiology review user interface displays the observed condition(s) and the characteristic(s) of the observed condition(s) to a user (e.g., a radiologist), and can apply sorting, filtering, or grouping based on pathology phrases or attribute words associated with the observed conditions or the characteristics of such observed conditions.
    Type: Grant
    Filed: August 31, 2022
    Date of Patent: February 11, 2025
    Assignee: Virtual Radiologic Corporation
    Inventors: Zeljko Velichkovich, Theodore J. Walker, Patrick T McGaughey, Shwan Kim, Kimberley S. Miller, Timothy Braatz
  • SYSTEMS AND METHODS OF RADIOLOGY REPORT PROCESSING AND DISPLAY ENHANCEMENTS
    Publication number: 20240071586
    Abstract: Systems and methods for identifying and presenting prior findings data in a radiology review workflow, based on natural language processing (NLP) of unstructured radiology report text, are disclosed. In an example, prior findings are generated with operations including: receiving text from a prior radiology report prepared for a patient in a prior radiology study; processing the text with a trained NLP engine to classify discrete prior findings in the prior radiology study that identify observed condition(s) and characteristics of the observed condition(s); and outputting or presenting the prior findings, such as in a radiology review user interface. In an example, the radiology review user interface displays the observed condition(s) and the characteristic(s) of the observed condition(s) to a user (e.g., a radiologist), and can apply sorting, filtering, or grouping based on pathology phrases or attribute words associated with the observed conditions or the characteristics of such observed conditions.
    Type: Application
    Filed: August 31, 2022
    Publication date: February 29, 2024
    Inventors: Zeljko Velichkovich, Theodore J. Walker, Patrick T McGaughey, Shwan Kim, Kimberley S. Miller, Timothy Braatz