Abstract: A system and method for accelerating a disposition of a digital dispute event includes routing a digital dispute event to one of a plurality of distinct machine learning-based dispute scoring models; computing, by the one of the plurality of distinct machine learning-based dispute scoring models, a preliminary machine learning-based dispute inference based on one or more features extracted from the digital dispute event, wherein the preliminary machine learning-based dispute inference relates to a probability of the subscriber prevailing against the digital dispute event based on each piece of evidence data of a service-proposed corpus of evidence data being available to include in a dispute response artifact; and generating the dispute response artifact based on the digital dispute event, wherein the generating includes installing one or more obtainable pieces of evidence data associated with the digital event into one or more distinct sections of the dispute response artifact.

Abstract: A scanner for generating 3D data relating to a surface of a target object includes a scanner frame on which is mounted a set of imaging modules including a light projector unit for projecting a structured light pattern of the surface of the target object, wherein the structured light pattern includes a plurality of elongated light stripes arranged alongside one another, and further defining discrete coded elements extending from at least some of the elongated light stripes in the plurality of elongated light stripes. The set of imaging modules further includes a set of cameras positioned alongside the light projector unit for capturing data conveying a set of images including reflections of the structured light pattern projected onto the surface of the target object, and one or more processor in communication with the set of imaging modules for receiving and processing the data conveying the set of images. Related systems and methods are also described.

Abstract: A system and method for accelerating a disposition of a digital dispute event includes routing a digital dispute event to one of a plurality of distinct machine learning-based dispute scoring models; computing, by the one of the plurality of distinct machine learning-based dispute scoring models, a preliminary machine learning-based dispute inference based on one or more features extracted from the digital dispute event, wherein the preliminary machine learning-based dispute inference relates to a probability of the subscriber prevailing against the digital dispute event based on each piece of evidence data of a service-proposed corpus of evidence data being available to include in a dispute response artifact; and generating the dispute response artifact based on the digital dispute event, wherein the generating includes installing one or more obtainable pieces of evidence data associated with the digital event into one or more distinct sections of the dispute response artifact.

Abstract: A system and method for accelerating a disposition of a digital dispute event includes routing a digital dispute event to one of a plurality of distinct machine learning-based dispute scoring models; computing, by the one of the plurality of distinct machine learning-based dispute scoring models, a preliminary machine learning-based dispute inference based on one or more features extracted from the digital dispute event, wherein the preliminary machine learning-based dispute inference relates to a probability of the subscriber prevailing against the digital dispute event based on each piece of evidence data of a service-proposed corpus of evidence data being available to include in a dispute response artifact; and generating the dispute response artifact based on the digital dispute event, wherein the generating includes installing one or more obtainable pieces of evidence data associated with the digital event into one or more distinct sections of the dispute response artifact.

Abstract: A system and method for accelerating a disposition of a digital dispute event includes routing a digital dispute event to one of a plurality of distinct machine learning-based dispute scoring models; computing, by the one of the plurality of distinct machine learning-based dispute scoring models, a preliminary machine learning-based dispute inference based on one or more features extracted from the digital dispute event, wherein the preliminary machine learning-based dispute inference relates to a probability of the subscriber prevailing against the digital dispute event based on each piece of evidence data of a service-proposed corpus of evidence data being available to include in a dispute response artifact; and generating the dispute response artifact based on the digital dispute event, wherein the generating includes installing one or more obtainable pieces of evidence data associated with the digital event into one or more distinct sections of the dispute response artifact.

Abstract: A positioning method and system for non-destructive inspection of an object include providing at least one volumetric analysis sensor having sensor reference targets; providing a sensor model of a pattern of at least some of the sensor reference targets; providing object reference targets on at least one of the object and an environment of the object; providing an object model of a pattern of at least some of the object reference targets; providing a photogrammetric system including at least one camera and capturing at least one image in a field of view, at least a portion of the sensor reference and the object reference targets being apparent on the image; determining a sensor spatial relationship and an object spatial relationship; determining a sensor-to-object spatial relationship of the at I act one volumetric analysis sensor with respect to the object; repeating the steps and tracking a displacement of the volumetric analysis sensor and the object.

Abstract: A method and hand-held scanning apparatus for three-dimensional scanning of an object is described. The hand-held self-referenced scanning apparatus has a light source for illuminating retro-reflective markers, the retro-reflective markers being provided at fixed positions on or around the object, a photogrammetric high-resolution camera, a pattern projector for providing a projected pattern on a surface of the object; at least a pair of basic cameras, the basic camera cooperating with light sources, the projected pattern and at least a portion of the retro-reflective markers being apparent on the 2D images, a frame for holding all components in position within the hand-held apparatus, the frame having a handle, the frame allowing support and free movement of the scanning apparatus by a user.

Abstract: A system and method for beginning an exam procedure in multiple modality systems during the performance of a physiology procedure. Upon the initiation of a physiology procedure in a physiology workstation, the physiology workstation automatically generates an exam notification message to each modality system required during the performance of the physiology procedure. Upon receiving the start exam notification message, each modality system automatically generates a patient information query back to the physiology workstation requesting patient information and exam information. The physiology workstation returns identical patient information and exam information to each of the modality systems, thereby ensuring that each of the modality systems is operating utilizing the same patient information and exam information.