Patents by Inventor Kritika Iyer

Kritika Iyer 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).

  • ANATOMICAL AND FUNCTIONAL ASSESSMENT OF CAD USING MACHINE LEARNING
    Publication number: 20240135550
    Abstract: Anatomical and functional assessment of coronary artery disease (CAD) using machine learning and computational modeling techniques deploying methodologies for non-invasive Fractional Flow Reserve (FFR) quantification based on angiographically derived anatomy and hemodynamics data, relying on machine learning algorithms for image segmentation and flow assessment, and relying on accurate physics-based computational fluid dynamics (CFD) simulation for computation of the FFR.
    Type: Application
    Filed: December 22, 2023
    Publication date: April 25, 2024
    Inventors: Carlos Alberto Figueroa-Alvarez, Christopher John Arthurs, Brahmajee Kartik Nallamothu, Kritika Iyer, Raj Rao Nadakuditi, Krishnakumar Garikipati, Elizabeth Renee Livingston
  • Anatomical and functional assessment of CAD using machine learning
    Patent number: 11861851
    Abstract: Anatomical and functional assessment of coronary artery disease (CAD) using machine learning and computational modeling techniques deploying methodologies for non-invasive Fractional Flow Reserve (FFR) quantification based on angiographically derived anatomy and hemodynamics data, relying on machine learning algorithms for image segmentation and flow assessment, and relying on accurate physics-based computational fluid dynamics (CFD) simulation for computation of the FFR.
    Type: Grant
    Filed: July 8, 2022
    Date of Patent: January 2, 2024
    Assignees: REGENTS OF THE UNIVERSITY OF MICHIGAN, KING'S COLLEGE LONDON
    Inventors: Carlos Alberto Figueroa-Alvarez, Christopher John Arthurs, Brahmajee Kartik Nallamothu, Kritika Iyer, Raj Rao Nadakuditi, Krishnakumar Garikipati, Elizabeth Renee Livingston
  • ANATOMICAL AND FUNCTIONAL ASSESSMENT OF CORONARY ARTERY DISEASE USING MACHINE LEARNING
    Publication number: 20230368398
    Abstract: Anatomical and functional assessment of coronary artery disease (CAD) using machine learning and computational modeling techniques deploying methodologies for non-invasive Fractional Flow Reserve (FFR) quantification based on angiographically derived anatomy and hemodynamics data, relying on machine learning algorithms for image segmentation and flow assessment, and relying on accurate physics-based computational fluid dynamics (CFD) simulation for computation of the FFR.
    Type: Application
    Filed: July 24, 2023
    Publication date: November 16, 2023
    Inventors: Carlos Alberto Figueroa-Alvarez, Brahmajee Kartik Nallamothu, Ismael Assi, Haizhou Zhang, Kritika Iyer, Raj Rao Nadakuditi, Krishnakumar Garikipati, Elizabeth Renee Livingston, Yang Zhou
  • ANATOMICAL AND FUNCTIONAL ASSESSMENT OF CAD USING MACHINE LEARNING
    Publication number: 20220366571
    Abstract: Anatomical and functional assessment of coronary artery disease (CAD) using machine learning and computational modeling techniques deploying methodologies for non-invasive Fractional Flow Reserve (FFR) quantification based on angiographically derived anatomy and hemodynamics data, relying on machine learning algorithms for image segmentation and flow assessment, and relying on accurate physics-based computational fluid dynamics (CFD) simulation for computation of the FFR.
    Type: Application
    Filed: July 8, 2022
    Publication date: November 17, 2022
    Inventors: Carlos Alberto Figueroa-Alvarez, Christopher John Arthurs, Brahmajee Kartik Nallamothu, Kritika Iyer, Raj Rao Nadakuditi, Krishnakumar Garikipati, Elizabeth Renee Livingston
  • Anatomical and functional assessment of coronary artery disease using machine learning
    Patent number: 11386563
    Abstract: Anatomical and functional assessment of coronary artery disease (CAD) using machine learning and computational modeling techniques deploying methodologies for non-invasive Fractional Flow Reserve (FFR) quantification based on angiographically derived anatomy and hemodynamics data, relying on machine learning algorithms for image segmentation and flow assessment, and relying on accurate physics-based computational fluid dynamics (CFD) simulation for computation of the FFR.
    Type: Grant
    Filed: November 23, 2020
    Date of Patent: July 12, 2022
    Assignees: THE REGENTS OF THE UNIVERSITY OF MICHIGAN, KING'S COLLEGE LONDON
    Inventors: Carlos Alberto Figueroa-Alvarez, Christopher John Arthurs, Brahmajee Kartik Nallamothu, Kritika Iyer, Raj Rao Nadakuditi, Krishnakumar Garikipati, Elizabeth Renee Livingston
  • ANATOMICAL AND FUNCTIONAL ASSESSMENT OF CORONARY ARTERY DISEASE USING MACHINE LEARNING
    Publication number: 20210158541
    Abstract: Anatomical and functional assessment of coronary artery disease (CAD) using machine learning and computational modeling techniques deploying methodologies for non-invasive Fractional Flow Reserve (FFR) quantification based on angiographically derived anatomy and hemodynamics data, relying on machine learning algorithms for image segmentation and flow assessment, and relying on accurate physics-based computational fluid dynamics (CFD) simulation for computation of the FFR.
    Type: Application
    Filed: November 23, 2020
    Publication date: May 27, 2021
    Inventors: Carlos Alberto Figueroa-Alvarez, Christopher John Arthurs, Brahmajee Kartik Nallamothu, Kritika Iyer, Raj Rao Nadakuditi, Krishnakumar Garikipati, Elizabeth Renee Livingston