Abstract: A device may receive a set of perioperative images including a set of pre-operative images depicting one or more anatomical structures of a surgical candidate. The set of pre-operative images may be processed using image analysis techniques to determine a first set of quantitative measures related to the anatomical structure(s) of the surgical candidate. The device may use a data model that has been trained based on perioperative data associated with a patient cohort sharing clinical characteristics with the surgical candidate to predict outcomes from one or more therapeutic options for the surgical candidate based on the first set of quantitative measures and a second set of quantitative measures related to a profile associated with the surgical candidate. Based on the predicted outcomes, the device may provide, to a client device, a recommendation relating to the therapeutic options for the surgical candidate and information to support the recommendation.

Abstract: A medical robot system, including a robot coupled to an effectuator element with the robot configured for controlled movement and positioning. The system may include a transmitter configured to emit one or more signals, and the transmitter is coupled to an instrument coupled to the effectuator element. The system may further include a motor assembly coupled to the robot and a plurality of receivers configured to receive the one or more signals emitted by the transmitter. A control unit is coupled to the motor assembly and the plurality of receivers, and the control unit is configured to supply one or more instruction signals to the motor assembly.

Abstract: Some embodiments provide systems, assemblies, and methods of analyzing patient anatomy, including providing an analysis of a patient's spine, and also analyzing the biomechanical effects of implants. In some embodiments, the systems, assemblies, and/or methods can include obtaining initial patient data, acquiring spinal alignment and contour information, acquiring flexibility and/or biomechanical information, registering patient anatomical landmarks of interest relative to fiducial markers, analyzing databases of measurements and patient data to predict postoperative patient outcomes. Further, in some embodiments, the systems, assemblies, and/or methods can assess localized anatomical features of the patient, and obtain anatomical region data. In some embodiments, the systems, assemblies, and/or methods can also analyze the localized anatomy and therapeutic device location and contouring.

Abstract: In some embodiments, the system is directed to medical assessment software for analyzing one or more medical conditions and enabling communication between a medical professional and a patient. In some embodiments, the system includes one or more graphical user interfaces configured to enable a medical professional to execute one or more of scheduling a virtual appointment, view a virtual schedule, check patients in/out, enter new patients into the system, request patient recorded outcomes, and view patient progress. In some embodiments, the system is configured to implement an artificial intelligence (AI) algorithm configured to identify one or more unique features within the one or more images and use the one or more unique features as one or more fiducials during an analysis of the one or more images. In some embodiments, the analysis includes a determination of whether an abnormal condition associated with an area of skin is progressing toward healing.

Abstract: A system includes a plurality of wearable ultrasound devices configured to be in contact with a plurality of patients. Each of the wearable ultrasound devices is used to measure one or more parameters of the patients. The system also includes a computing system in communication with the wearable ultrasound devices. The computing system is configured to receive the parameters from the wearable ultrasound devices, determine a plurality of diagnostic states of the patients based at least partially upon the parameters, and determine prioritization of the patients for triage based at least partially upon the diagnostic states.

Abstract: A medical robot system, including a robot coupled to an effectuator element with the robot configured for controlled movement and positioning. The system may include a transmitter configured to emit one or more signals, and the transmitter is coupled to an instrument coupled to the effectuator element. The system may further include a motor assembly coupled to the robot and a plurality of receivers configured to receive the one or more signals emitted by the transmitter. A control unit is coupled to the motor assembly and the plurality of receivers, and the control unit is configured to supply one or more instruction signals to the motor assembly.

Abstract: Devices, systems, and methods for aiding insertion of a surgical implant by providing a threaded guide tube configured to engage a threaded surgical instrument such that an end-effector of a robot may provide force to drive the surgical implant into a patient. In addition, devices, systems, and methods relating to a dilator system for use with a robotic system that allows independent and separate control of tools within the dilator system.

Abstract: A medical robot system, including a robot coupled to an effectuator element with the robot configured for controlled movement and positioning. The system may include a transmitter configured to emit one or more signals, and the transmitter is coupled to an instrument coupled to the effectuator element. The system may further include a motor assembly coupled to the robot and a plurality of receivers configured to receive the one or more signals emitted by the transmitter. A control unit is coupled to the motor assembly and the plurality of receivers, and the control unit is configured to supply one or more instruction signals to the motor assembly. The instruction signals can be configured to cause the motor assembly to selectively move the effectuator element.

Abstract: A medical robot system, including a robot coupled to an effectuator element with the robot configured for controlled movement and positioning. The system may include a transmitter configured to emit one or more signals, and the transmitter is coupled to an instrument coupled to the effectuator element. The system may further include a motor assembly coupled to the robot and a plurality of receivers configured to receive the one or more signals emitted by the transmitter. A control unit is coupled to the motor assembly and the plurality of receivers, and the control unit is configured to supply one or more instruction signals to the motor assembly.

Abstract: A medical robot system, including a robot coupled to an effectuator element with the robot configured for controlled movement and positioning. The system may include a transmitter configured to emit one or more signals, and the transmitter is coupled to an instrument coupled to the effectuator element. The system may further include a motor assembly coupled to the robot and a plurality of receivers configured to receive the one or more signals emitted by the transmitter. A control unit is coupled to the motor assembly and the plurality of receivers, and the control unit is configured to supply one or more instruction signals to the motor assembly.

Abstract: Some embodiments provide systems, assemblies, and methods of analyzing patient anatomy, including providing an analysis of a patient's spine, and also analyzing the biomechanical effects of implants. In some embodiments, the systems, assemblies, and/or methods can include obtaining initial patient data, acquiring spinal alignment and contour information, acquiring flexibility and/or biomechanical information, registering patient anatomical landmarks of interest relative to fiducial markers, analyzing databases of measurements and patient data to predict postoperative patient outcomes. Further, in some embodiments, the systems, assemblies, and/or methods can assess localized anatomical features of the patient, and obtain anatomical region data. In some embodiments, the systems, assemblies, and/or methods can also analyze the localized anatomy and therapeutic device location and contouring.

Abstract: Some embodiments provide systems, assemblies, and methods of analyzing patient anatomy, including providing an analysis of a patient's spine, and also analyzing the biomechanical effects of implants. In some embodiments, the systems, assemblies, and/or methods can include obtaining initial patient data, acquiring spinal alignment and contour information, acquiring flexibility and/or biomechanical information, registering patient anatomical landmarks of interest relative to fiducial markers, analyzing databases of measurements and patient data to predict postoperative patient outcomes. Further, in some embodiments, the systems, assemblies, and/or methods can assess localized anatomical features of the patient, and obtain anatomical region data. In some embodiments, the systems, assemblies, and/or methods can also analyze the localized anatomy and therapeutic device location and contouring.

Abstract: A medical robot system, including a robot coupled to an effectuator element with the robot configured for controlled movement and positioning. The system may include a transmitter configured to emit one or more signals, and the transmitter is coupled to an instrument coupled to the effectuator element. The system may further include a motor assembly coupled to the robot and a plurality of receivers configured to receive the one or more signals emitted by the transmitter. A control unit is coupled to the motor assembly and the plurality of receivers, and the control unit is configured to supply one or more instruction signals to the motor assembly. The instruction signals can be configured to cause the motor assembly to selectively move the effectuator element.

Abstract: Systems and methods for detection and localization of a foreign body object in a region are provided. In embodiments, a system can a processor and one or more computer-readable storage media storing instructions which, when executed on the processor, cause the processor to perform a method for forming a trained model using a plurality of training images and a plurality of training boundary data sets. The systems and methods further apply the trained model to process an image and generate a boundary data set. In embodiments, the image can be an ultrasound image, and the boundary data set can correspond to a bounding box enclosing the foreign body object.

Abstract: Embodiments are directed to a medical robot system including a robot coupled to an end-effectuator element with the robot configured to control movement and positioning of the end-effectuator in relation to the patient. One embodiment is a method for removing bone with a robot system comprising: taking a two-dimensional slice through a computed tomography scan volume of target anatomy; placing a perimeter on a pathway to the target anatomy; and controlling a drill assembly with the robot system to remove bone along the pathway in the intersection of the perimeter and the two-dimensional slice.

Abstract: Some embodiments provide systems, assemblies, and methods of analyzing patient anatomy, including providing an analysis of a patient's spine, and also analyzing the biomechanical effects of implants. In some embodiments, the systems, assemblies, and/or methods can include obtaining initial patient data, acquiring spinal alignment and contour information, acquiring flexibility and/or biomechanical information, registering patient anatomical landmarks of interest relative to fiducial markers, analyzing databases of measurements and patient data to predict postoperative patient outcomes. Further, in some embodiments, the systems, assemblies, and/or methods can assess localized anatomical features of the patient, and obtain anatomical region data. In some embodiments, the systems, assemblies, and/or methods can also analyze the localized anatomy and therapeutic device location and contouring.

Abstract: A revision connector that is configured to couple a new spine fixation rod to a previously implanted spine fixation rod that is secured to a plurality of vertebrae. The previously implanted spine fixation rod may be received in a first rod receiving channel of the revision connector. The revision connector may include a linkage that is received in a second rod receiving channel of another revision connector. For example, the another revision connector may couple to the new spine fixation rod such that the revision connector is coupled to the new fixation rod. A bone anchor may not directly connect either of the revision connector or the another revision connector to underlying vertebra. Also, the new spine fixation rod can be implanted and secured to vertebra that are caudal and/or cranial with respect to the previously secured vertebrae.

Abstract: A medical robot system, including a robot coupled to an effectuator element with the robot configured for controlled movement and positioning. The system may include a transmitter configured to emit one or more signals, and the transmitter is coupled to an instrument coupled to the effectuator element. The system may further include a motor assembly coupled to the robot and a plurality of receivers configured to receive the one or more signals emitted by the transmitter. A control unit is coupled to the motor assembly and the plurality of receivers, and the control unit is configured to supply one or more instruction signals to the motor assembly.

Abstract: A revision connector that is configured to couple a new spine fixation rod to a previously implanted spine fixation rod that is secured to a plurality of vertebrae. The previously implanted spine fixation rod may be received in a first rod receiving channel of the revision connector. The revision connector may include a linkage that is received in a second rod receiving channel of another revision connector. For example, the another revision connector may couple to the new spine fixation rod such that the revision connector is coupled to the new fixation rod. A bone anchor may not directly connect either of the revision connector or the another revision connector to underlying vertebra. Also, the new spine fixation rod can be implanted and secured to vertebra that are caudal and/or cranial with respect to the previously secured vertebrae.

Abstract: Disclosed are systems and methods that provide a novel framework related to a dynamic spinal assessment tool that provides actionable metrics to guide data-driven, personalized treatment for Adult Spinal Deformity (ASD) and other degenerative spine conditions. The disclosed assessment tool, while worn and/or associated with a patient, can collect physiological patient data for a predetermined period of time, whereby decision-based intelligence software can process the collected data into actionable clinical reports. The dynamically and automatically generated reports, which can be embodied as a digital and/or data structure record of the collected data and/or computational analysis based therefrom, can provide medical professionals (e.g., physicians) with dynamic, patient-specific information for preoperative, intra-operative and/or post-operative stages/procedures.