Abstract: Methods, apparatuses, and systems for performing robotic joint arthroscopic surgery are disclosed. The disclosed systems use a surgical robot to perform robotic joint arthroscopic surgery for soft tissue. The disclosed systems enable a surgeon or physician to perform a virtual surgical procedure in a virtual environment, storing robotic movements, workflow objects, user inputs, or a description of tools used. The surgical robot filters the stored data to determine a surgical workflow from the stored data. The surgical robot displays information describing a surgical step in the surgical workflow, enabling the surgeon or physician to optionally adjust the surgical workflow. The surgical robot stores the optional adjustments and performs the surgical procedure on a patient by executing surgical actions of the surgical workflow.

Abstract: This specification describes systems, methods, devices, and related techniques for optimizing 3D printed implants. A 3D network can collect medical images from an imaging device and create a 3D image of the damaged or malfunctioning body part. The 3D network allows a user to alter the 3D image to fix the damages or malfunctions and the 3D network, compares the altered 3D image to a historical database containing healthy patient's medical images, and provides recommendations to allow the user to further enhance the altered 3D image. The 3D network then performs a simulation on the enhanced 3D image to determine, if the 3D image was printed, if it will be successful or not. Once successful, the 3D image is printed using a 3D printer and the user tests the compatibility of the 3D printed object to determine if the implant or transplant would be successful.

Abstract: Methods, apparatuses, and systems for digital image analysis for device navigation in tissue are disclosed. The disclosed system uses real-time angiography and artificial intelligence to navigate an end effector of a surgical robot through a patient's vasculature to provide a surgical intervention. Digital imaging is performed that enables three-dimensional mapping of the patient's vasculature. Locations and movement of the end effector of the surgical robot are determined. The end effector is used to perform an intervention such as the removal of a blood clot or delivery of a drug for dissolving a blood clot.

Abstract: A robotic surgery system comprising a plurality of motorized robotic arms of a surgical robot configured to perform surgical steps on a patient and a display system for multi-user control of the robot of a surgical procedure. The display system includes a console including left and right hand-operated input devices physically manipulatable by a first user and a viewer configured to display one or more instruments carried by the plurality of robotic arms to the second user. The display system also includes a second user device configured to display a graphical user interface having patient data of the patient and an authorization input for a second user to be authorized to switch control of at least one of the robotic arms from the first user to the second user.

Abstract: Methods, apparatuses, and systems for digital image analysis for device navigation in tissue are disclosed. The disclosed system uses real-time angiography and artificial intelligence to navigate an end effector of a surgical robot through a patient's vasculature to provide a surgical intervention. Digital imaging is performed that enables three-dimensional mapping of the patient's vasculature. Locations and movement of the end effector of the surgical robot are determined. The end effector is used to perform an intervention such as the removal of a blood clot or delivery of a drug for dissolving a blood clot.

Abstract: A system for implanting surgical material in a patient's body is disclosed. The system comprises a two-dimensional (2D) laser cutter network comprising a 2D laser cutter and a processor. The processor is configured to perform the steps of capturing an image of an open area of a patient's body and processing a drug implant substrate to create a customized drug implant substrate. The customized drug implant may be created based on the captured image to correspond with the open area of the patient's body. The drug implant substrate is shaped using the 2D laser cutter. The processor is further configured to perform the steps of placing the customized drug implant substrate in the open area of the patient's body and sealing the open area after placing the customized drug implant substrate in the open area.

Abstract: Methods, apparatuses, and systems for providing updates to a surgical robot in which a surgical robot receives a notification that there is an update available or detects a new hardware component that has been attached to the surgical robot. The surgical robot then determines if it is currently in use or is inactive and if inactive the surgical robot downloads the latest update. Additionally, the system provides a process of remote monitoring of telesurgical robots for safety and redundancy, in which the surgical robot collects data representing at least one assistance parameter of the surgical robot during a surgical procedure. The data is assessed, and it is determined if non-surgical assistance is required and connecting the medical professional to a technician to resolve the potential issue.

Abstract: Methods, apparatuses, and systems for performing custom surgical implant design are disclosed. The disclosed apparatus designs and installs customized surgical implants to minimize the recovery of the patient. The system uses imaging data to identify the least invasive installation path, and determines the maximum dimensions of the surgical implant components. The system virtually segments the surgical implant into subcomponents, and modifies the subcomponents such that they can be inserted following the identified least invasive path.

Abstract: Methods, apparatuses, and systems for performing custom surgical implant design are disclosed. The disclosed apparatus designs and installs customized surgical implants to minimize the recovery of the patient. The system uses imaging data to identify the least invasive installation path, and determines the maximum dimensions of the surgical implant components. The system virtually segments the surgical implant into subcomponents, and modifies the subcomponents such that they can be inserted following the identified least invasive path.

Abstract: The disclosed technology provides for printing a 3D structure in-situ within a patient during a surgical procedure. The disclosed technology can include generating instructions for a 3D printer of a surgical robot to print a structure within the patient's body, simulating and verifying the instructions, and autonomously or semi-autonomously executing the instructions, once verified, during a surgical procedure. Generating the instructions for printing the 3D structure within the patient can be based on image data of the patient. Generating the instructions can also include selecting substrate materials that are both safe for the patient and having desired properties of the final printed structure. Modifications can be made to the instructions based on results from the simulation. The disclosed technology provides for application of safe substrate material directly to hard and/or soft tissues within the patient's body via an additive manufacturing process, such as 3D printing.

Abstract: Methods, apparatuses, and systems for edge computing for robotic telesurgery using artificial intelligence are disclosed. A robotic surgical system includes surgery equipment and can communicate via a cloud network. The system can include operation room (OR) equipment and a surgical computer. The surgical computer transfers data between a remote surgeon, the OR equipment, and the surgery equipment. The surgical computer receives, using the OR equipment and the surgery equipment, data related to a surgical procedure. The data is related to the surgical procedure and is computed using artificial intelligence (AI). The surgical computer determines a risk assessment based on data related to the surgery equipment. The surgical computer sends an indication of the determined risk assessment to the remote surgeon.

Abstract: Methods, apparatuses, and systems for transcribing and performing analysis on patient data are disclosed. Data is collected from one or more medical professionals as well as sensors and imaging devices positioned on or oriented towards a patient. An analysis is performed on the patient data and the data is presented to a medical professional via a verbal interface in a conversational manner, allowing the medical professional to provide additional data such as observations or instructions which may be used for further analysis or to perform actions related to the patient's care.

Abstract: Methods, apparatuses, and systems performing robotic arthroscopic surgery for extensor retinaculum are disclosed. The disclosed surgical robot receives user inputs, workflow objects, and data files containing surgical actions for robotic movements from a surgery network. The surgical tools required for performing the robotic arthroscopic surgery are displayed on a user interface for the surgical tools to be enabled or disabled. The robotic arthroscopic surgical steps are displayed on the user interface in a sequence to enable execution of the data files containing the robotic movements. The robotic movements are used to perform surgical steps or assist a surgeon in performing surgical steps.

Abstract: Methods, apparatuses, and systems for performing machine learning (ML) for robotic arthroscopic surgery are disclosed. The disclosed systems use ML to provide recommendations and methods for automated robotic ankle arthroscopic surgery. Historical patient data is filtered to match particular parameters of a patient. The parameters are correlated to the patient. A robotic surgical system or a surgeon reviews the historical patient data to select or adjust the historical patient data to generate a surgical workflow for a surgical robot to perform the robotic arthroscopic surgery.

Abstract: Disclosed are systems and methods that provide a framework for performing advanced image stabilization. The disclosed framework can operate to capture imagery used and/or relied upon for the preoperative (pre-op), operative and/or postoperative (post-op) stages of a medical procedure. The framework can function by collecting and monitoring sensor data related to a device of a user (e.g., a patient). The sensor data can be analyzed, whereby the framework can determine the most opportune time to capture an image(s)—for example, a computed tomography (CT) scan or magnetic resonance imaging (MRI) scan, and the like. Accordingly, the framework can leverage the determined capture opportunity to perform the image capture and storage of the image data and metadata, as well as perform a confidence score computation that enables validation or verification of the image's authenticity and quality.

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.

Abstract: Methods, apparatuses, and systems for edge computing in surgical robotics is provided. The system comprises a surgical robot communicatively coupled to a 3rd party operating room equipment system over a cloud network. The surgical robot includes an operating room hardware configured to perform a surgical procedure on a patient. A memory is communicatively coupled to operating room hardware and user interface, and the memory comprises an equipment database and a threshold database to store parameters related to the operating room hardware. A processor, coupled to the operating room hardware via the network interface, is configured to establish a connection between the surgical robot and the 3rd party operating room equipment system, and monitor events being performed by the operating room and then store the monitored data within the threshold database. The threshold database stores trigger values for each piece of equipment for taking actions, based on data collected by sensors.

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.

Abstract: Methods, apparatuses, and systems for automated disease detection using multiple-wavelength imaging are disclosed. The disclosed system uses multiple imaging modalities for assessing a medical condition. Data collected from multiple cameras and imaging modalities is processed to identify common structures. The common structures are used to scale and align images, which are analyzed to detect one or more medical conditions. Each acquired image is assessed, and the resulting probabilities are consolidated. The images can be assessed together by using artificial intelligence and machine learning.

Abstract: Computer-implemented digital image analysis methods, apparatuses, and systems for robotic installation of surgical implants are disclosed. A disclosed apparatus plans a route within an anatomy of a patient from an incision site to a surgical implant site for robotic installation of a surgical implant. The apparatus uses digital imaging data to identify less-invasive installation paths and determine the dimensions of the surgical implant components being used. The apparatus segments the surgical implant into surgical implant subcomponents and modifies the surgical implant subcomponents, such that they can be inserted using the identified less-invasive installation paths.