Abstract: A fluid manifold includes an inlet comprising an opening into an interior of the fluid manifold, an outlet end that is positioned opposite the inlet and that is in fluid communication with the inlet, a shroud extending between the inlet and the outlet end and surrounding a flow path of the fluid manifold, and a first flow distributor positioned within the interior of the fluid manifold. The first flow distributor includes a hollow body including a first surface at a downstream side of the first flow distributor and a second surface at an upstream side of the first flow distributor, a central cavity defined by the second surface of the hollow body, and openings extending from the first surface to the second surface such that a fluid can pass from the central cavity through the openings. The first flow distributor and the fluid manifold are integrally formed.

Abstract: Methods, apparatus, and systems to dynamically schedule a workload to among compute blocks based on temperature are disclosed. An apparatus to schedule a workload to at least one of a plurality of compute blocks based on temperature includes a prediction engine to determine (i) a first predicted temperature of a first compute block of the plurality of compute blocks and (ii) a second predicted temperature of a second compute block of the plurality of compute blocks. The apparatus also includes a selector to select between the first compute block and the second compute block for assignment of the workload. The selection is based on which of the first and second predicted temperatures is lower. The apparatus further includes a workload scheduler to assign the workload to the selected one of the first or second compute blocks.

Abstract: Various embodiments provide probes, systems and methods to assist an arthroscopic, endoscopic or other surgical procedure by the placement of digital landmarks in selected locations in a surgical field of view. Many embodiments utilize a specialized probe having a tip with a spherical or other selected geometry of known dimensions to assist with placement of the landmark. The probe is placed at a desired anatomical location and imaged by an arthroscopic/endoscopic video camera. Embodiments may use a deep learning network to analyze the image data encoded by the camera, identify the probe and generate a segmented outline. Then, computer vision/shape fitting algorithms are used to generate a refined outline of the probe wherein the dimensions of the probe tip are used to improve the accuracy of the image including the tip. The improved tip image accuracy in turn improves the accuracy of the placement of a landmark using the tip.

Abstract: Various embodiments of the invention provide systems and methods to assist or guide an arthroscopic surgery or other surgical procedure e.g., surgery of the shoulder, knee or hip. The method comprises steps of receiving an image from an interventional imaging device, identifying a feature in the image using an image recognition algorithm, overlaying the features on a video feed on a display device and making recommendations or suggestions to an operator based on the identified feature in the image.

Abstract: Various embodiments of the invention provide systems and methods to assist or guide an arthroscopic surgery (e.g., surgery of the shoulder, knee or hip) or other surgical procedure by the placement of arbitrary landmarks in one or more locations in surgical field of view. The systems and methods comprise steps of receiving a video stream from an arthroscopic or other imaging device; receiving one or more sets of coordinates of one or more landmarks; overlaying the one or more landmarks on the video stream; and displaying the overlay on one or more display devices intraoperatively so as to be used by an operator during the arthroscopic or other medical procedure.

Abstract: Various embodiments of the invention provide systems and methods to assist or guide an arthroscopic surgery (e.g., surgery of the shoulder, knee, hip or spine) or other surgical procedure by providing measurements intraoperatively. The systems and methods comprise steps of receiving a video stream from an arthroscopic imaging device; receiving one or more sets of coordinates of one or more points, paths, or area; calculating a length, a surface area, or a volume measurement based at least in part on the one or more sets of coordinates; overlaying the selected one or more sets of coordinates and the measurement on the video stream or on an expanded view of a region of surgery; and displaying the overlay on one or more display devices intraoperatively so as to be used by an operator during the arthroscopic procedure.

Abstract: A system and method for removing personally identifiable information (PII) from medical data and ensuring strict compliance with privacy laws and regulations. The PII removal tool removes, deletes or redacts sensitive personally identifiable information, which may comprise any health care data that may be linked to any individual. The system and method is preferably applied to medical data, images, video, or other electronic media captured from medical procedures, endoscopes, or arthroscopic surgery. Artificial intelligence powered software and models are applied to the medical data for the detection of PII comprising patient names, medical history, faces, account numbers, digital identities, biometric data, or other sensitive personal information which may be linked to an individual. Medical data is re-written without PII and the system generates metadata describing the deleted PII.

Abstract: An audio labeling tool is described for rapidly and efficiently building a labeled data set preferably comprising audio files with annotations denoting speaker transcriptions, speaker identity, periods of silence, background noise, and speaker emotion labels. The tool provides a configurable user interface (UI) with keyboard shortcuts and menu items for streamlined user-guided markup of audio files with context specific labeling and transcription notes. Human audio file labelers will preferably leverage the labeling tool and configurable user interface and menu to rapidly annotate, validate, and build labeled data sets, at scale, of time sliced audio files. The audio labeling tool is preferably applied to audio files and provides an automated means for adding notations, markup, text transcription, and feature labeling to an audio waveform, spectrogram, or other audio data visualization domain for amplifying and highlighting audio feature details.

Abstract: The present invention is directed to a composite fence system comprised of fiber reinforced polymers and other polymers. In this regard, the present invention provides a composite fence system that is strong, durable, substantially non-conductive, and generally transparent to electromagnetic energy. The composite fence system includes at least one composite fence panel, at least one support member such as a support post or a stiffening plate, and a composite plug or fastener that is received by one or more apertures defined in the composite fence panel for coupling the composite fence panel to the support member.