SYSTEM AND METHOD FOR IMPLANTING SMART IMPLANTS USING ROBOTIC TELESURGERY

    公开(公告)号:US20230397964A1

    公开(公告)日:2023-12-14

    申请号:US17971870

    申请日:2022-10-24

    CPC classification number: A61B34/35 A61B90/37 A61B2034/102

    Abstract: A system for using robotic telesurgery to implant a smart implant is disclosed. The system comprises a remote doctor module communicatively coupled with an operating room module over a cloud network. The operating room module comprises a robotic arm, a processor, and communication interface which communicates with the smart implant during the surgical procedure. The Operating Room Module testing the smart implant prior to implantation surgery; correlating data collected during the implantation surgery against past data from previous surgeries; determining whether the plurality of sensors is working properly; and transferring communication with the smart implant to a user device receive and monitor data from the plurality of sensors integrated into the smart implant to determine the smart implant is operating according as expected and to monitor the patient's condition.

    ADAPTIVE PATIENT CONDITION SURGICAL WARNING SYSTEM

    公开(公告)号:US20230368904A1

    公开(公告)日:2023-11-16

    申请号:US18351759

    申请日:2023-07-13

    CPC classification number: G16H40/40 G16H10/60 G16H20/40 G06N20/00

    Abstract: Monitoring devices monitor physiological parameters of a patient undergoing surgery. The physiological parameters describe a physiological condition of the patient. A processor matches the physiological parameters to stored surgical data associated with adverse surgical events associated with surgical procedures matching the surgery. The processor determines a predicted time at which the physiological condition of the patient will meet a threshold physiological condition associated with the adverse surgical event based on a rate of change of the physiological parameters. Responsive to determining the predicted time, the processor transmits a first alert to robotic surgical controls to adjust the surgery prior to the predicted time. The processor determines that the physiological condition of the patient has met the threshold physiological condition. The processor transmits a second alert to the robotic surgical controls to terminate the surgery.

    Adaptive patient condition surgical warning system

    公开(公告)号:US11710559B2

    公开(公告)日:2023-07-25

    申请号:US17408419

    申请日:2021-08-21

    CPC classification number: G16H40/40 G06N20/00 G16H10/60 G16H20/40

    Abstract: Monitoring devices monitor physiological parameters of a patient undergoing surgery. The physiological parameters describe a physiological condition of the patient. A processor matches the physiological parameters to stored surgical data associated with adverse surgical events associated with surgical procedures matching the surgery. The processor determines a predicted time at which the physiological condition of the patient will meet a threshold physiological condition associated with the adverse surgical event based on a rate of change of the physiological parameters. Responsive to determining the predicted time, the processor transmits a first alert to robotic surgical controls to adjust the surgery prior to the predicted time. The processor determines that the physiological condition of the patient has met the threshold physiological condition. The processor transmits a second alert to the robotic surgical controls to terminate the surgery.

    SURGICAL ROBOT EVOLUTION AND HANDOFF
    49.
    发明公开

    公开(公告)号:US20230181255A1

    公开(公告)日:2023-06-15

    申请号:US17839249

    申请日:2022-06-13

    CPC classification number: A61B34/10 G05B13/0265 A61B34/32

    Abstract: Methods, apparatuses, and systems for autonomous surgical robot evolution and handoff for manual operation are disclosed. A robotic surgical system performs surgery and is controlled jointly by an artificial intelligence (AI) and a surgeon. The surgeon can perform the entire surgery or can alternatively allow the AI to control the surgical robot to perform a part of or the entirety of the surgery. The AI is trained using data from previous surgeries, can provide indication to the surgeon when it has been sufficient trained to take over parts of a surgery, and can prompt the surgeon when there is insufficient training data for the AI to continue. Alternatively, a supervising surgeon can manually take back control of the surgical robot from the AI.

    REAL-TIME ADJUSTMENT OF HAPTIC FEEDBACK IN SURGICAL ROBOTS

    公开(公告)号:US20230054209A1

    公开(公告)日:2023-02-23

    申请号:US17407538

    申请日:2021-08-20

    Abstract: Haptic feedback from a robotic surgical tool can be adjusted based on intra-operative assessment of the accuracy of a pre-operative surgical navigational plans. Navigational reference points are identified in at least one pre-operative image. At least one haptic response is identified for interactions between at least one robotic surgical tool and at least one navigational reference point. At least one intra-operative image is compared to the pre-operative image to determine the relative position of at least two corresponding navigational reference points in the images. The reference points' relative position determines a confidence level in the accuracy of the pre-operative navigational reference point. The haptic response is adjusted in timing, location, type, or amplitude based upon the confidence level. Tolerances and surgical navigation plan may also be updated and altered based on the confidence level.

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