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    THORACIC POST-SURGICAL MONITORING AND COMPLICATION PREDICTION
    2.
    发明申请
    THORACIC POST-SURGICAL MONITORING AND COMPLICATION PREDICTION 有权

    公开(公告)号：US20220241474A1

    公开(公告)日：2022-08-04

    申请号：US17156272

    申请日：2021-01-22

    Applicant: ETHICON LLC

    Inventor： Frederick E. Shelton, IV ,  Jason L. Harris ,  Chad Edward Eckert ,  Demetrius Harris

    IPC: A61M1/04 ,  A61B5/00 ,  A61B5/0205 ,  A61M1/00

    Abstract: Patient biomarkers may be monitored before, during, and/or after thoracic surgery to predict complications, detect complications, track recovery, and/or make pre-, in- and/or post-surgery recommendations to avoid predicted complications and/or mitigate detected complications. Complications (e.g., prolonged air leak or esophageal stricture) may be predicted based on patient parameters and/or biomarker measurements. Complications may be predicted or detected based on biomarker measurements compared to thresholds associated with a biomarker (e.g., developed from baselines) generated based on patient parameters, pre- and/or in-surgery biomarker measurements, and/or surgical details (e.g., decrease in lung capacity). Recovery milestones may be tracked based on biomarker measurements compared to predicted biomarker measurements for recovery stages. A recommendation (e.g., to avoid a predicted complication and/or mitigate a detected complication) may be a patient-specific selection and/or modification of more of: surgical preparation, in-surgery procedures, surgical instrument selection, surgical and/or post-surgical instrument settings, post-surgery procedures, in-surgery and/or post-surgery monitoring, etc.

    MACHINE LEARNING TO IMPROVE ARTIFICIAL INTELLIGENCE ALGORITHM ITERATIONS
    3.
    发明申请
    MACHINE LEARNING TO IMPROVE ARTIFICIAL INTELLIGENCE ALGORITHM ITERATIONS 有权

    公开(公告)号：US20220238216A1

    公开(公告)日：2022-07-28

    申请号：US17156293

    申请日：2021-01-22

    Applicant: ETHICON LLC

    Inventor： Frederick E. Shelton, IV ,  Demetrius Harris

    IPC: G16H40/40 ,  G16H40/60 ,  G06N20/00 ,  G06F8/658

    Abstract: A computing system may be provided for applying machine learning to a data collection to improve a surgical outcome. The computing system may comprise a processor. The processor may be configured to perform a number of actions. An indication that an operational behavior of a surgical device may be suboptimal may be determined from a data collection that may include one or more biomarkers. A model that may optimize and/or improve the behavioral operation of the surgical device to improve a surgical outcome may be determined using machine learning and the data collection. The model may be updated using feedback given by a healthcare provider to improve the model. The control program update may be determined using the model and the data collection. The control program update may be configured to alter a manner in which a control program operates the surgical device during the surgical procedure. The control program update may be sent to the surgical device.

    HYSTERECTOMY SURGERY POST-SURGICAL MONITORING
    5.
    发明申请
    HYSTERECTOMY SURGERY POST-SURGICAL MONITORING 有权

    公开(公告)号：US20220240869A1

    公开(公告)日：2022-08-04

    申请号：US17156279

    申请日：2021-01-22

    Applicant: ETHICON LLC

    Inventor： Frederick E. Shelton, IV ,  Chad Edward Eckert ,  Demetrius Harris ,  Andréas N. Ward ,  Jason L. Harris

    IPC: A61B5/00 ,  G16H50/20 ,  G16H20/40 ,  A61B5/145 ,  A61B5/01 ,  A61B5/20 ,  A61B5/11

    Abstract: A computing system for measuring and monitoring patient biomarkers for detecting or predicting a post-surgical hysterectomy complication may be provided. A post-surgical hysterectomy complication may be predicted or detected by comparing measured/processed patient biomarker data with a corresponding determined threshold value. The comparison of the measured/processed patient biomarker data and the corresponding threshold may be performed in association with a context. The context may be based on at least one of a hysterectomy surgery recovery timeline, at least one situational attribute, or at least one environmental attribute. A notification message associated with a predicted or detected post-surgical hysterectomy complication may be sent (e.g., sent in real time) to a patient device or a healthcare provider's device. The notification message may be supplemented by a severity level message.

    PATIENT BIOMARKER MONITORING WITH OUTCOMES TO MONITOR OVERALL HEALTHCARE DELIVERY
    7.
    发明申请
    PATIENT BIOMARKER MONITORING WITH OUTCOMES TO MONITOR OVERALL HEALTHCARE DELIVERY 有权

    公开(公告)号：US20220238197A1

    公开(公告)日：2022-07-28

    申请号：US17156282

    申请日：2021-01-22

    Applicant: ETHICON LLC.

    Inventor： Frederick E. Shelton, IV ,  Jason L. Harris ,  Chad Edward. Eckert ,  Demetrius Harris

    IPC: G16H20/00 ,  G16H10/60 ,  G16H80/00

    Abstract: Examples herein may include a computer-implemented method for providing outcome tracking of a plurality of patients, which may include generating a respective expected patient biomarker dataset for each of the plurality of patients, wherein the expected patient biomarker dataset may represent the expected values of a patient biomarker over the duration of the patient's recovery. The computer implementing method may include receiving respective actual patient biomarker data from respective patient sensor systems for each of the plurality of patients. The method may include aggregating the respective expected patient biomarker dataset and the respective actual patient biomarker data for each of the plurality of patients. The method may include determining differences between the respective expected patient biomarker data and the respective actual patient biomarker data. The method may include generating a treatment notification based on the differences.

    PREDICTIVE BASED SYSTEM ADJUSTMENTS BASED ON BIOMARKER TRENDING
    10.
    发明申请
    PREDICTIVE BASED SYSTEM ADJUSTMENTS BASED ON BIOMARKER TRENDING 有权

    公开(公告)号：US20220237999A1

    公开(公告)日：2022-07-28

    申请号：US17156289

    申请日：2021-01-22

    Applicant: ETHICON LLC

    Inventor： Frederick E. Shelton, IV ,  Chad Edward Eckert ,  Demetrius Harris ,  Jason L. Harris

    IPC: G08B21/02 ,  A61B5/00

    Abstract: A computing system and/or a method may be provided for using a risk assessment to provide a notification. The computing system may comprise a processor. The processor may be configured to perform the method. A biomarker may be received for a patient from a sensing system. A data collection that includes pre-surgical data may be received for a patient. A probability of a patient outcome due to a surgery performed on the patient may be determined using the biomarker and the data collection. A notification may be sent to a user. The notification may indicate that the probability of the surgical complication may exceed a threshold.

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