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: Systems and methods for providing assistance to a surgeon during an implant surgery are disclosed. A method includes defining areas of interest in diagnostic data of a patient and defining a screw bone type based on the surgeon's input. Post defining the areas of interest, salient points are determined for the areas of interest. Successively, an XZ angle, an XY angle, and a position entry point for a screw are determined based on the salient points of the areas of interest. Successively, a maximum screw diameter and a length of the screw are determined based on the salient points. Thereafter, the screw is identified and suggested to the surgeon for usage during the implant surgery.

Abstract: Systems and methods for designing and implementing patient-specific surgical procedures and/or medical devices are disclosed. In some embodiments, a method includes receiving a patient data set of a patient. The patient data set is compared to a plurality of reference patient data sets, wherein each of the plurality of reference patient data sets is associated with a corresponding reference patient. A subset of the plurality of reference patient data sets is selected based, at least partly, on similarity to the patient data set and treatment outcome of the corresponding reference patient. Based on the selected subset, at least one surgical procedure or medical device design for treating the patient is generated.

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.

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: Systems and methods for assisting a user in discovering nearby medical services are disclosed. A method includes identifying a user based on matching of at least one unique identity or biometric details of the user with data stored in a database. Details of an event data may be received from the user. A current geographical location of the user may be determined. Relevant support network data may be identified based on the event data and the current geographical location of the user. The support network data may include data related to pharmacies, doctors, hospitals, clinics, third parties, insurance, and payment agents. Thereafter, the relevant support network data may be presented to the user in form of an event map. The event map may include details related to the event data and the user preferences.

Abstract: Apparatuses, systems, and methods for performing real-time analysis of bone tissue during a surgical procedure are disclosed herein. In some embodiments, the method includes receiving at least one measurement of at least one tissue sample from a hybrid multi-wavelength photoacoustic measurements (MWPM) component. The method can also include identifying one or more reference cases, from a plurality of reference cases, based on correlations between the at least one measurement and previous measurements in each of the plurality of reference cases. Once the reference cases are identified, the method can include determining at least one bone condition of the patient and sending the at least one determined bone condition to a computing device accessible by a surgeon. In some embodiments, the method also includes creating a three-dimensional (3D) map the tissue sample using the at least one measurement and sending the 3D map to the computing device.

Abstract: Systems, methods, and techniques for customizing connectors for connecting standardized implant components together or to a part of a patient. The connectors are customized based on medical imagery of the patient and/or other patient data and may use additive or subtractive manufacturing techniques. The connectors can be manufactured at the point of use and used with standardized components.

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.

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 providing real-time surgical assistance to a surgical robot using an imaging module, a context computer module, and a quantum analysis module are disclosed. The imaging module receives one or more data related to a patient from an intra-operative database and performs a first step analysis based on the received data. The context computer module determines a type of resource required for analysis based on data received from a historical database and the intra-operative database. The quantum analysis module receives data from the imaging module and the context computer module. The quantum analysis module receives real-time data from operation room (OR) equipment and performs quantum analysis on the received data and real-time data. The quantum analysis module facilitates real-time surgical assistance and recommendations to the surgical robot.

Abstract: Robotic system and method are described for performing latency managed telesurgery. The system comprises drone(s) to create a wireless network in one or more geographic areas between a surgical site and a remote surgeon. The system further comprises a computer that is configured to: receive a request that indicates that a telesurgery is to be performed between the first location and the second location at a scheduled time; determine that one or more equipment is available for use at the surgical site for the telesurgery at the scheduled time; send a first instruction that triggers measurement of a latency of the wireless network; determine, during the telesurgery, whether the latency of the wireless network is acceptable; and send a first message that indicates that the latency is not acceptable, where an operation of the drone(s) is adjusted or an additional drone is deployed in the one or more geographic areas.

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 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: A multi-portal method for treating a subject's spine includes distracting adjacent vertebrae using a distraction instrument positioned at a first entrance along the subject to enlarge an intervertebral space between the adjacent vertebrae. An interbody fusion implant can be delivered into the enlarged intervertebral space. The interbody fusion implant can be positioned directly between vertebral bodies of the adjacent vertebrae while endoscopically viewing the interbody fusion implant using an endoscopic instrument. The patient's spine can be visualized using endoscopic techniques to view, for example, the spine, tissue, instruments, and implants before, during, and after implantation, or the like. The visualization can help a physician throughout the surgical procedure to improve patient outcome.

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: Technologies for providing assistance to a surgeon during a surgical procedure are disclosed. An example method includes identifying a medical condition of a patient and recommending surgical procedures for treatment. An optimal surgical procedure is then determined based on correlations between the medical condition of the patient and outcomes of previous surgical procedures for other patients previously suffering from the medical condition. A 3D model of the patient may be created using current images of an affected area of the patient. Successively, a surgeon is trained using a Virtual Reality simulation. During the training, the surgeon may be allowed to provide annotations. Further, the recommended surgical procedures are based on medical data of the patient, including medical images. Surgical paths are retrieved for addressing the surgical need of the patient, and the surgical paths may be overlaid on image segments, for display for the surgeon.

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: 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.