Abstract: A method described herein includes receiving a digital image, wherein the digital image includes a first element that corresponds to a first domain and a second element that corresponds to a second domain. The method also includes automatically assigning a label to the first element in the digital image based at least in part upon a computed probability that the label corresponds to the first element, wherein the probability is computed through utilization of a first model that is configured to infer labels for elements in the first domain and a second model that is configured to infer labels for elements in the second domain. The first model receives data that identifies learned relationships between elements in the first domain and elements in the second domain, and the probability is computed by the first model based at least in part upon the learned relationships.

Abstract: Using artificial intelligence and data observed using sensors or imaging devices to prompt a patient to provide responses or perform actions and then observing the patient's responses to the prompts and performing an assessment resulting in a quantitative result. The quantitative result is then used to complete a clinical qualitative assessment of the patient.

Abstract: Methods, apparatuses, and systems for designing, modifying, and installing a surgical implant optimized for a patient's unique physiology are disclosed. The methods are based upon data from surgical implants installed in other patients. Allowing patient outcomes from previously installed surgical implants to influence the design, placement, and surgical tool path for enable the implanting of surgical implants having the greatest likelihood of a successful patient outcome.

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: A system for performing robotic laser surgery is disclosed. The system comprises at least one surgery equipment, a surgeon terminal, and a communication module. Further, the system includes a surgical computer communicatively coupled to the at least one surgery equipment via the communication module. The surgical computer is configured to transfer data between the surgeon terminal and the at least one surgery equipment. The surgeon terminal is configured to modulate the tunable laser to conduct the surgical procedure in fully autonomous mode or semi-autonomous mode using robot controls. Further, a plurality of sensors is used to real-time data while performing surgical procedure and transmit the real-time data to the surgeon terminal.

Abstract: Systems and methods for automatically revising feedback in an electronic learning system are provided. The method involves operating at least one processor to: receive feedback text data submitted by a user to evaluate another user; identify a plurality of sentiment groups in the feedback text data, each sentiment group consisting of a portion of the feedback text data associated with a common sentiment; select at least one feedback processing module to process each sentiment group, the at least one feedback processing module comprising at least one machine-learned model; for each sentiment group, process the corresponding portion of the feedback text data using the at least one machine-learned model to determine at least one suggested revision for the portion of the feedback text data; and generate a revised version of the feedback text data indicating each suggested revision for the feedback text data.

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: 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: Methods, apparatuses, and systems for robotic insertion of a screw, a rod, or another component of a surgical implant into a patient are disclosed. Synchronous insertion of screws is performed by multiple surgical robots or a single surgical robot having multiple arms and end effectors. The movements of each robotic arm are coordinated into position in preparation of the insertion of multiple surgical implant components at the same time or in the same surgical step. The insertion of the surgical implant components is performed while monitoring the insertion progress. The insertion is completed autonomously or in coordination with a surgeon.

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 using speech input to control a surgical robot are disclosed. A surgical robot is disclosed that can be controlled by a surgeon using speech input in a conversational manner. The surgical robot is provided either general commands or specific instructions, assessing whether the instructions can be completed within the capabilities of the available hardware and resources, and seeking approval from the surgeon prior to executing the instructions. Alternatively, the embodiments disclosed allow the surgeon to perform an action that cannot be safely completed by the surgical robot.

Abstract: A carrier having one or more non-planar surfaces may be embedded with one or more radioactive seeds. A spherical carrier may be substantially radially symmetrical around an axis or a spherical carrier may include a non-spherical portion, such as a tapered portion that extends from a spherical portion.

Abstract: Custom radioactive seed carriers are fabricated pre-operatively and/or intra-operatively to more precisely match carrier specification of a radiation treatment plan for a particular patient. One or more carrier specification component, such as a 3D printer, injection molding system, machining component, or bioprinter, may be utilized to create the custom carrier.

Abstract: An apparatus for validating magnets on site, including a standard reference magnet for providing a governing reference, a reference magnet for providing a reference based on the governing reference, a gauss meter, a hall probe, and a scanner. The reference magnet is arranged to be taken on site for further magnetic validation and includes guide members to target a nominated magnetic field density.

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.

Abstract: The present invention relates to a method for communicating in a network from a first station, having at least one buffer memory for storing data packets to be transmitted for one or more group of logical channels, to a second station. The method performs steps of estimating the status of the at least one buffer memory, adapting a granularity of information included in a buffer status report representative of a buffer memory status where the adapting depends on the number of padding bits in a granted resource and transmitting the buffer status report.

Abstract: The present invention relates generally to a rosemary plant and, more specifically, to a proprietary clonal plant line KI1005 that hyper-accumulates carnosic acid.

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: Images stored in an information repository are prepared for browsing. For each image in the repository, text in the repository is mined to extract snippets of text about the image which are semantically relevant to the image, and for each of these snippets of text, keyterms are detected in the snippet of text which represent either concepts that are related to the image or entities that are related to the image, and the snippet of text and keyterms are associated with the image. Each keyterm that is associated with each image in the repository is hyperlinked to each other image in the repository that has this keyterm associated therewith. A graphical user interface allows a user to browse the images in the repository by using their associated snippets of text and hyperlinked keyterms.

Abstract: Methods, apparatuses, and systems for customized kit assembly for surgical implants are disclosed. A robotic surgical system designs and customizes a surgical implant and its surgical implant components. The surgical implant and its surgical implant components are assembled into a kit that is customized for a specific patient. The robotic surgical procedure using the kit can additionally select from available generic, off-the-shelf surgical implant components or customized surgical implant components.