Abstract: A method for optimizing a knee arthroplasty surgical procedure includes receiving pre-operative data comprising (i) anatomical measurements of the patient, (ii) soft tissue measurements of the patient's anatomy, and (iii) implant parameters identifying an implant to be used in the knee arthroplasty surgical procedure. An equation set is selected from a plurality of pre-generated equation sets based on the pre-operative data. During the knee arthroplasty surgical procedure, patient-specific kinetic and kinematic response values are generated and displayed using an optimization process. The optimization process includes collecting intraoperative data from one or more surgical tools of a computer-assisted surgical system, and using the intraoperative data and the pre-operative data to solve the equation set, thereby yielding the patient-specific kinetic and kinematic response values. A visualization is then provided of the patient-specific kinetic and kinematic response values on the displays.

Abstract: Methods and systems are provided for performing material capture to determine properties of an imaged surface. A plurality of images can be received depicting a material surface. The plurality of images can be calibrated to align corresponding pixels of the images and determine reflectance information for at least a portion of the aligned pixels. After calibration, a set of reference materials from a material library can be selected using the calibrated images. The set of reference materials can be used to determine a material model that accurately represents properties of the material surface.

Abstract: Example devices, systems, and techniques predict renal denervation efficacy for reducing hypertension in a patient based on pulse information. For example, a system may include processing circuitry configured to obtain pulse information representative of pulses from both wrists of a patient, obtain a plurality of values representative of respective patient metrics for the patient, and apply the pulse information and the plurality of values to a deep learning model trained to represent a relationship of the pulse information and the patient metrics to an efficacy of renal denervation in reducing hypertension. In some examples, responsive to applying the pulse information and the plurality of values to the deep learning model, the processing circuitry obtains, from the deep learning model, a score indicative of renal denervation efficacy in reducing hypertension for the patient, and generates a graphical user interface comprising a graphical representation of the score for the patient.

Abstract: A method and system for the early detection of neurodegeneration are described. The method comprises the steps of: a) extracting samples of a plurality of eye-markers of a user from a video stream captured by a visible light camera; b) loading said samples of said plurality of eye-markers to a big data repository, analyzing and consolidating them into one biomarker for detecting multiple disorders by means of training a machine learning model; and c) determining the risk of said user to develop a neurodegenerative disease using said trained machine learning model as part of an early detection screening or diagnosis process.

Abstract: Methods for simulating orthodontic treatment are provided. In some embodiments, a method includes capturing a first representation, the first representation including a depiction of a patient's teeth. The method can include building a parametric model of the patient's teeth based on the first representation, using one or more case-specific parameters for one or more shapes associated with at least one of the patient's teeth. The method can also include simulating an outcome of a dental treatment plan for the patient's teeth to produce a simulated outcome of the dental treatment plan. The method can further include modifying the parametric model to provide a modified model representing the simulated outcome of the dental treatment plan.

Abstract: A method of evaluating camouflage for a specified area of responsibility, the method includes calculating an apparent spectrum of the camouflage at far field with respect to an observer; calculating an apparent spectrum of the specified area of responsibility at far field with respect to the observer; calculating a difference between the apparent spectrum of the camouflage with the apparent spectrum of the area of responsibility; and comparing the difference to a predetermined threshold, thereby determining suitability of the camouflage for the specified area of responsibility.

Abstract: The aim of the present invention is to propose a novel method for spectral study of a biological fluid from an absorption spectrum of a sample of the biological fluid. The inventors have made an original use of spectroscopy in order to accurately determine the protein content of a biological sample, in particular for oxyhaemoglobin, methaemoglobin, bilirubin and the haem bound to serum albumin. Such a method can be used in a variety of applications concerning haem- or haemoprotein- related diseases, in particular diagnostic methods, treatment follow-up methods, methods for determining biomarkers or screening methods. Such a method is also advantageous for qualifying blood bags.

Abstract: Provided in accordance with the present disclosure are systems for identifying a position of target tissue relative to surgical tools using a structured light detector. An exemplary system includes antennas configured to interact with a marker placed proximate target tissue inside a patient's body, a structured light pattern source, a structured light detector, a display device, and a computing device configured to receive data from the antennas indicating interacting with the marker, determine a distance between the antennas and the marker, cause the structured light pattern source to project and detect a pattern onto the antennas. The instructions may further cause the computing device to determine, a pose of the antennas, determine, based on the determined distance between the antennas and the marker, and the determined pose of the antennas, a position of the marker relative to the antennas, and display the position of the marker relative to the antennas.

Abstract: Disclosed are techniques for determining a motion state of a target object. In an aspect, an on-board computer of an ego vehicle detects the target object in one or more images, determines one or more first attributes of the target object based on measurements of the one or more images, determines one or more second attributes of the target object based on measurements of a map of a roadway on which the target object is travelling, and determines the motion state of the target object based on the one or more first attributes and the one or more second attributes of the target object.

Abstract: Provided are methods for track segment cleaning of tracked objects using neural networks, which can include detecting a first track segment and a second track segment. The method includes applying a machine learning model trained to determine if the first track segment and second track segment capture real objects and if the first track segment and the second track segment are representative of an identical object exterior to a vehicle. The method further includes combining the first track segment and the second track segment to form a single track segment having a single trajectory in response to the first track segment and the second track segment being determined to be representative of the identical object. Systems and computer program products are also provided.

Abstract: Digital Breast Tomosynthesis allows for the acquisition of volumetric mammography images. The present invention allows for novel ways of viewing such images to detect microcalcifications and obstructions. In an embodiment a method for displaying volumetric images comprises computing a projection image using a viewing direction, displaying the projection image and then varying the projection image by varying the viewing direction. The viewing direction can be varied based on a periodic continuous mathematical function. A graphics processing unit can be used to compute the projection image and bricking can be used to accelerate the computation of the projection images.

Abstract: An image processing apparatus for evaluating cardiac images and a ventricular status identification method are provided. In the method, a region of interest (ROI) is determined from multiple target images, a variation in grayscale values of multiple pixels in the ROIs of each target image is determined, and one or more representative images are obtained according to the variation in the grayscale values. The target image is related to the pixels within an endocardial contour of a left ventricle. A boundary of the ROI is approximately located at two sides of a bottom of the endocardial contour. The ROI corresponds to a mitral valve. The variation in the grayscale values is related to a motion of the mitral valve. The representative image is for evaluating a status of the left ventricle.

Abstract: Methods and systems are provided for generating a normative medical image from an anomalous medical image. In an example, the method includes receiving an anomalous medical image, wherein the anomalous medical image includes anomalous data, mapping the anomalous medical image to a normative medical image using a trained generative network of a generative adversarial network (GAN), wherein the anomalous data of the anomalous medical image is mapped to normative data in the normative medical image. In some examples, the method may further include displaying the normative medical image via a display device, and/or utilizing the normative medical image for further image analysis tasks to generate robust outcomes from the anomalous medical image.

Abstract: Embodiments of methods, systems, and storage medium associated with providing user records associated with characteristics that may be used to identify the user are disclosed herein. In one instance, the method may include obtaining features of an individual, determining identifying characteristics associated with the obtained features, and initiating a search for a record associated with the individual based in part on the identifying characteristics associated with the obtained features, and, based on a result of the search, a verification of the record associated with the individual. The method may further include receiving at least a portion of the record associated with the individual, based at least in part on a result of the verification. The verification may be based in part on a ranking associated with the record. Other embodiments may be described and/or claimed.

Abstract: A method for rendering metal obscured regions in a volume radiographic image reconstructs a first 3D image using a plurality of 2D projection images obtained over a scan angle range relative to the subject and identifies metal in the first 3D image or metal shadows in the plurality of 2D projection images. Then, metal obscured regions are determined in a reconstructed 3D image of the object, and an alternative reconstruction being a limited angle reconstruction is performed for the metal obscured regions and displayed to the user with an indication of the spatial relationship to a corresponding metal obscured region.

Abstract: Implementations are directed to receiving a set of training data including a plurality of data points, at least a portion of which are to be labeled for subsequent supervised training of a computer-executable machine learning (ML) model, providing at least one visualization based on the set of training data, the at least one visualization including a graphical representation of at least a portion of the set of training data, receiving user input associated with the at least one visualization, the user input indicating an action associated with a label assigned to a respective data point in the set of training data, executing a transformation on data points of the set of training data based on one or more heuristics representing the user input to provide labeled training data in a set of labeled training data, and transmitting the set of labeled training data for training the ML model.

Abstract: A computer readable medium for analyzing images according to specific kinds of features oriented towards detecting subtle branding features (intentional or otherwise) rather than relying on the usual image similarity detection methods. Also disclosed are steps to enhance standard machine learning techniques to identify new types of transformations by partitioning data into measure-countermeasure windows, which may be either/both detected computationally or inputted into a knowledgebase. The invention further incorporates direct and indirect traits of images that were likely to have been promulgated by a particular group or actor of interest, especially those traits that prove to be more invariant over time (including the use of transformations) which have proven to be more resistant to countermeasures applied in different jurisdictions. More generally, almost all embodiments allow individual feature calculations to be toggled on and off, and to define sets of features according to jurisdiction.

Abstract: A graph structure analysis apparatus 10 is an apparatus for analyzing a graph structure. The graph structure analysis apparatus 10 includes a range selection unit 11 that selects an analysis target range in the graph structure and a comparison target range to be compared with the analysis target range, and a feature representation extraction unit 12 that extracts a feature representation from data related to the analysis target range and the comparison target range, for each of the ranges.

Abstract: A computing system obtains a video feed. For a frame of the video feed, the computing system analyzes the frame to determine whether the frame includes a potential instance of an event. In accordance with a determination that the frame includes the potential instance of an event, the computing system determines for the event an event category from a plurality of predefined event categories. It stores an indication of the event category. It determines whether the event category matches a predefined notification filter definition. In accordance with a determination that the event category matches the predefined notification filter definition, the computing system issues an alert notification to a user client device. In accordance with a determination that the event category does not match the predefined notification filter definition, the computing system refrains from issuing the alert notification.

Abstract: A cell phone is disclosed for acquiring information to be transmitted to a receiving facility and for transmitting such thereto. A capture device captures information from an external source. A processor is provided for associating with the captured information a representation of the date and time of the capture of the information, such that the representation of the date and time information in association with the captured information forms augmented captured information. The processor also places the augmented captured information in association with subscriber information in a transmission of the augmented captured information to a receiving facility requiring such subscriber information. A transmitter transmits the transmission including the augmented captured information and the subscriber information to the receiving facility.