Abstract: Methods and system for characterizing ligament properties using elastography are disclosed. An ultrasound system capable of performing shear wave elasticity imaging and/or supersonic shear imaging may retrieve one or more images from a proposed surgical site. The one or more images may be provided to a surgical planning system that identifies one or more properties of ligaments proximate to the surgical site. Musculoskeletal simulations may be performed using the identified properties to preoperatively identify a surgical plan. Preoperative identification of a surgical plan may enable a surgeon to select from more fine-tuning options for a joint replacement than conventional systems.

Abstract: A tensioner tool for assessing joint laxity is disclosed. The tensioner tool comprises a pair of pivotally coupled arms, each arm comprising a proximal handle portion, a distal portion, and an insertion tip selectively coupled to the distal portion. The pair of arms pivot between a compressed configuration for insertion within the joint and an expanded configuration for distraction of the joint by applying a force to the handles, thus spreading the insertion tips. The tensioner tool also comprises a force sensor configured to measure the force applied to the handle portion and a positional sensor configured to measure a separation distance between the pair of arms. The tensioner tool also comprises a processor configured to calculate a distraction force at the insertion tips based on the measured force and to calculate a tip distance between the insertion tips based on the measured separation distance.

Abstract: Devices, systems, and methods for measuring a force applied to a joint during a surgical procedure are disclosed. The device includes an insertion tool, a handle, and one or more force indicators. The insertion tool includes an insertion end and a base end. The one or more force indicators may be attached to the insertion tool and the handle. The insertion end of the device may be inserted into a joint during a surgical procedure and used to apply a force to the joint and/or measure the force using the one or more force indicators when the force is applied.

Abstract: A controller of a surgical system is configured to receive a surgical plan associated with an endoscopic surgical procedure, receive a model of an anatomical structure associated with the endoscopic surgical procedure, segment a depth image of a surface of the anatomical structure to obtain surface geometry data of the anatomical structure, register the surface geometry data of the anatomical structure to the model of the anatomical structure, and update the surgical plan according to the registered surface geometry data.

Abstract: Devices, systems, and methods for measuring a force applied to a joint during a surgical procedure are disclosed. The device includes an insertion tool, a handle, and one or more force indicators. The insertion tool includes an insertion end and a base end. The one or more force indicators may be attached to the insertion tool and the handle. The insertion end of the device may be inserted into a joint during a surgical procedure and used to apply a force to the joint and/or measure the force using the one or more force indicators when the force is applied.

Abstract: A method for utilizing robotic surgical data for providing surgical training is disclosed. The method includes collecting, by a computing device, data related to a surgical procedure from one or more components of a computer-assisted surgical system. At least one of the one or more components is a robotically controlled surgical device. A graphical depiction representative of the surgical procedure is generated based on the collected data from the one or more components of the computer-assisted surgical system and one or more images providing a visual depiction of a patient's anatomy. A graphical user interface is output to a display device. The graphical user interface includes the graphical depiction of the surgical procedure and the collected data from the one or more components of the computer-assisted surgical system, to provide surgical training.

Abstract: A method of determining patient-specific implant parameters for an implant used in a surgical procedure is described. A surgical system receives one or more initial transfer functions and one or more preoperative input factors for a patient and generates a surgical plan comprising one or more patient-specific implant parameters based on the one or more initial transfer functions and the one or more preoperative input factors for the patient. The surgical system further receives one or more intraoperative input factors for the patient and updates the one or more patient-specific implant parameters based on the one or more intraoperative input factors for the patient. An implant for the patient is selected based on the one or more updated patient-specific implant parameters.

Abstract: Methods, non-transitory computer readable media, and surgical computing devices are illustrated that improve surgical planning using machine learning. With this technology, a machine learning model is trained based on historical case log data sets associated with patients that have undergone a surgical procedure. The machine learning model is applied to current patient data for a current patient to generate a predictor equation. The current patient data comprises anatomy data for an anatomy of the current patient. The predictor equation is optimized to generate a size, position, and orientation of an implant, and resections required to achieve the position and orientation of the implant with respect to the anatomy of the current patient, as part of a surgical plan for the current patient.

Abstract: An automated spatial frame is disclosed. The spatial frame may include a master controller unit arranged and configured as a centralized controller for exchanging data with a remote computing system, exchanging data with a plurality of automated struts, and delivering power to the automated struts. Thus arranged, the master-controller unit may be configured as a fully integrated, rechargeable power supply/controller unit for powering and controlling the automated struts. In one embodiment, the master-controller unit is coupled to an external surface of a platform. The platform acting as a conduit for coupling the master-controller unit to the automated struts. As such, at least one of the platforms provides integrated connectivity to the automated struts. In one embodiment, the struts may be wireless automated strut including a motor, a power source, and a wireless communications module for communicating with an external computing system.

Abstract: A surgical system and method for markerless intraoperative navigation is provided. The system can includes a structured light system that can be utilized to intraoperatively sense three-dimensional surface geometry. The computer system is configured to segment a depth image to obtain surface geometry data of an anatomical structure embodied within the depth image, register the surface geometry data of the anatomical structure to a model, and update the surgical plan according to the registered surface geometry data. The surgical system is an endoscopic surgical system.

Abstract: A method for utilizing robotic surgical data for providing surgical training is disclosed. The method includes collecting, by a computing device, data related to a surgical procedure from one or more components of a computer-assisted surgical system. At least one of the one or more components is a robotically controlled surgical device. A graphical depiction representative of the surgical procedure is generated based on the collected data from the one or more components of the computer-assisted surgical system and one or more images providing a visual depiction of a patient's anatomy. A graphical user interface is output to a display device. The graphical user interface includes the graphical depiction of the surgical procedure and the collected data from the one or more components of the computer-assisted surgical system, to provide surgical training.

Abstract: Methods and systems of augmenting an implant intraoperatively and preparing a cone for revision surgical procedure are disclosed. A system includes a cutting device, a tracking and navigation system and a cutting system in operable communication with the cutting device and the tracking and navigation system. The cutting device includes a communication system, a cutting element, and a plurality of optical trackers. The tracking and navigation system is configured to detect a location of optical trackers. The control system is configured to cause the tracking and navigation system to detect the location of the cutting device, determine a revised shape for an implant cavity, cause the cutting device to cut the implant cavity to the revised shape, select a shape for a cone to be placed in the revised implant cavity, and machine the cone to the selected shape.

Abstract: A method of determining patient-specific implant parameters for an implant used in a surgical procedure is described. A surgical system receives one or more initial transfer functions and one or more preoperative input factors for a patient and generates a surgical plan comprising one or more patient-specific implant parameters based on the one or more initial transfer functions and the one or more preoperative input factors for the patient. The surgical system further receives one or more intraoperative input factors for the patient and updates the one or more patient-specific implant parameters based on the one or more intraoperative input factors for the patient. An implant for the patient is selected based on the one or more updated patient-specific implant parameters.

Abstract: Methods, non-transitory computer readable media, and surgical computing devices are illustrated that improve surgical planning using machine learning. With this technology, a machine learning model is trained based on historical case log data sets associated with patients that have undergone a surgical procedure. The machine learning model is applied to current patient data for a current patient to generate a predictor equation. The current patient data comprises anatomy data for an anatomy of the current patient. The predictor equation is optimized to generate a size, position, and orientation of an implant, and resections required to achieve the position and orientation of the implant with respect to the anatomy of the current patient, as part of a surgical plan for the current patient. The machine learning model is updated based on the current patient data and current outcome.

Abstract: An augmented reality system and method for assisting surgical staff during an arthroplasty procedure includes a camera system configured to capture images of a surgical scene and a processor configured to determine from the images location and orientation information about one or more patient anatomical features and to maintain a three-dimensional model of these anatomical features within the surgical scene. The system models the field-of-view of augmented reality headsets worn by surgical staff, and maps this to the anatomical model, allowing the system to overlay relevant information to the user about particular anatomical features in the surgical plan.

Abstract: A cell for producing retroviral vectors comprising nucleic acid sequences encoding: i) gag-pol; ii) env; iii) the RNA genome of the retroviral vector; and iv) optionally rev, or a functional substitute thereof, wherein at least two nucleic acid sequences are located at the same genetic locus; and wherein the at least two nucleic acid sequences are in reverse and/or alternating orientations.

Abstract: Disclosed herein are viral vector production systems secreting nuclease for degradation of residual nucleic acid during viral vector production and methods of the same. Such a viral vector production system comprises a viral vector production cell comprising nucleic acid sequences encoding: 1) viral vector components; and 2) a nuclease, wherein the nuclease is expressed in the production cell and secreted in cell culture thereby degrading residual nucleic acid during viral vector production. Another such viral vector production system comprises 1) a viral vector production cell comprising nucleic acid sequences encoding viral vector components; and 2) a nuclease helper cell comprising a nucleic acid sequence encoding a nuclease, wherein the nuclease is expressed and secreted in co-culture of the production cell of 1) and the helper cell of 2), thereby degrading residual nucleic acid during viral vector production.

Abstract: Methods and system for characterizing ligament properties using elastography are disclosed. An ultrasound system capable of performing shear wave elasticity imaging and/or supersonic shear imaging may retrieve one or more images from a proposed surgical site. The one or more images may be provided to a surgical planning system that identifies one or more properties of ligaments proximate to the surgical site. Musculoskeletal simulations may be performed using the identified properties to preoperatively identify a surgical plan. Preoperative identification of a surgical plan may enable a surgeon to select from more fine-tuning options for a joint replacement than conventional systems.

Abstract: A method for utilizing robotic surgical data for providing surgical training is disclosed. The method includes collecting, by a computing device, data related to a surgical procedure from one or more components of a computer-assisted surgical system. At least one of the one or more components is a robotically controlled surgical device. A graphical depiction representative of the surgical procedure is generated based on the collected data from the one or more components of the computer-assisted surgical system and one or more images providing a visual depiction of a patient's anatomy. A graphical user interface is output to a display device. The graphical user interface includes the graphical depiction of the surgical procedure and the collected data from the one or more components of the computer-assisted surgical system, to provide surgical training.

Abstract: An augmented reality system and method for assisting surgical staff during an arthroplasty procedure includes a camera system configured to capture images of a surgical scene and a processor configured to determine from the images location and orientation information about one or more patient anatomical features and to maintain a three-dimensional model of these anatomical features within the surgical scene. The system models the field-of-view of augmented reality headsets worn by surgical staff, and maps this to the anatomical model, allowing the system to overlay relevant information to the user about particular anatomical features in the surgical plan.