Patents by Inventor Venkata Ratna Saripalli

Venkata Ratna Saripalli 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).

  • Medical machine time-series event data processor
    Patent number: 11404145
    Abstract: Systems, apparatus, instructions, and methods for medical machine time-series event data processing are disclosed. An example time series event data processing apparatus includes memory storing instructions and one-dimensional time series healthcare-related data; and at least one processor. The example at least one processor is to: execute artificial intelligence model(s) trained on aggregated time series data to at least one of a) predict a future medical machine event, b) detect a medical machine event, or c) classify the medical machine event using the one-dimensional time series healthcare-related data; when the artificial intelligence model(s) are executed to predict the future medical machine event, output an alert related to the predicted future medical machine event to trigger a next action; and when the artificial intelligence model(s) are executed to detect and/or classify the medical machine event, label the medical machine event and output the labeled event to trigger the next action.
    Type: Grant
    Filed: November 27, 2019
    Date of Patent: August 2, 2022
    Assignee: GE Precision Healthcare LLC
    Inventors: Venkata Ratna Saripalli, Gopal Avinash, Min Zhang, Ravi Soni, Jiahui Guan, Dibyajyoti Pati, Zili Ma
  • MEDICAL MACHINE TIME-SERIES EVENT DATA PROCESSOR
    Publication number: 20200337648
    Abstract: Systems, apparatus, instructions, and methods for medical machine time-series event data processing are disclosed. An example time series event data processing apparatus includes memory storing instructions and one-dimensional time series healthcare-related data; and at least one processor. The example at least one processor is to: execute artificial intelligence model(s) trained on aggregated time series data to at least one of a) predict a future medical machine event, b) detect a medical machine event, or c) classify the medical machine event using the one-dimensional time series healthcare-related data; when the artificial intelligence model(s) are executed to predict the future medical machine event, output an alert related to the predicted future medical machine event to trigger a next action; and when the artificial intelligence model(s) are executed to detect and/or classify the medical machine event, label the medical machine event and output the labeled event to trigger the next action.
    Type: Application
    Filed: November 27, 2019
    Publication date: October 29, 2020
    Inventors: Venkata Ratna Saripalli, Gopal Avinash, Min Zhang, Ravi Soni, Jiahui Guan, Dibyajyoti Pati, Zili Ma