Patents by Inventor Michael Schnetz

Michael Schnetz 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).

  • Publication number: 20250090106
    Abstract: Methods are disclosed for generating a target mean arterial pressure (MAP) for a patient during a surgery. In some implementations, the disclosed methods include calculating the target MAP based on the age, biological sex, emergent surgery status, and American Society of Anesthesiology (ASA) physical status (PS) class of the patient, and a predetermined intraoperative hypotension (IOH) risk benchmark. Treating the patient to maintain a MAP at or above the target MAP during the surgery reduces a risk of IOH during the surgery, a risk of administering an unnecessary therapy to avoid IOH during the surgery; and a risk of not administering a therapeutic MAP-decreasing action during the surgery. In some implementations, the method further comprises conducting the surgery on the patient and treating the patient to maintain the MAP of the patient at or above the target MAP during the surgery. Also provided are systems for implementing the disclosed methods.
    Type: Application
    Filed: August 1, 2022
    Publication date: March 20, 2025
    Applicant: University of Pittsburgh - Of the Commonwealth System of Higher Education
    Inventors: Michael Schnetz, Aman Mahajan, David Danks
  • Patent number: 11213258
    Abstract: Methods are disclosed for determining a prognosis of a test patient following or during a surgical procedure. In some embodiments, the disclosed methods comprise forming a test data vector characterizing concurrent measures of mean arterial pressure (MAP), bispectral index (BIS), and standard minimum alveolar concentration (MAC) of the test patient from sequential time intervals during the surgical procedure. A K-means clustering procedure is performed on the test data vector and a plurality of reference data vectors characterizing concurrent MAP, BIS, and MAC measures for sequential time intervals during surgical procedures from reference patients with known clinical outcome. A prognosis of one or more post-surgical outcomes of the test patient is determined based on the known surgical outcome of reference patients in the cluster including the test data vector.
    Type: Grant
    Filed: August 7, 2018
    Date of Patent: January 4, 2022
    Assignees: University of Pittsburgh—Of the Commonwealth System of Higher Education, UPMC
    Inventors: Michael Schnetz, Ata Kaynar
  • Publication number: 20190046122
    Abstract: Methods are disclosed for determining a prognosis of a test patient following or during a surgical procedure. In some embodiments, the disclosed methods comprise forming a test data vector characterizing concurrent measures of mean arterial pressure (MAP), bispectral index (BIS), and standard minimum alveolar concentration (MAC) of the test patient from sequential time intervals during the surgical procedure. A K-means clustering procedure is performed on the test data vector and a plurality of reference data vectors characterizing concurrent MAP, BIS, and MAC measures for sequential time intervals during surgical procedures from reference patients with known clinical outcome. A prognosis of one or more post-surgical outcomes of the test patient is determined based on the known surgical outcome of reference patients in the cluster including the test data vector.
    Type: Application
    Filed: August 7, 2018
    Publication date: February 14, 2019
    Applicants: University of Pittsburgh - Of the Commonwealth System of Higher Education, UPMC
    Inventors: Michael Schnetz, Ata Kaynar