Abstract: Techniques for diagnosing Lyme disease are presented. The techniques may include obtaining a digital photo of a skin lesion, providing the digital photo to a deep learning convolutional neural network, such that an output diagnosis is provided. The deep learning convolutional neural network may be trained using a training corpus including a plurality of digital training images annotated according to one of a plurality of training image diagnoses, where the plurality of training image diagnoses include at least one Lyme disease type, normal skin, and at least one non-Lyme skin lesion type, and where the plurality of digital training images include multiple digital photographs publicly available on the internet. The techniques can include outputting the output diagnosis.

Abstract: Apparatuses, systems, and methods for object recognition and presentation are provided. An example apparatus may include a camera, an assistance feedback device, an input device, and processing circuitry. The processing circuitry may be configured receive an image from the camera, compare characteristic features within the image to an object identification dataset to identify object matches for a plurality of objects within the image, receive a selected name of an identified object from the user via the input device, and transmit assistance feedback to the user indicating a position of the selected object within the field of view via the assistance feedback device.

Abstract: Apparatuses, systems, and methods for object recognition and presentation are provided. An example apparatus may include a camera, an assistance feedback device, an input device, and processing circuitry. The processing circuitry may be configured receive an image from the camera, compare characteristic features within the image to an object identification dataset to identify object matches for a plurality of objects within the image, receive a selected name of an identified object from the user via the input device, and transmit assistance feedback to the user indicating a position of the selected object within the field of view via the assistance feedback device.

Abstract: Apparatuses, systems, and methods for object recognition and presentation are provided. An example apparatus may include a camera, an assistance feedback device, an input device, and processing circuitry. The processing circuitry may be configured receive an image from the camera, compare characteristic features within the image to an object identification dataset to identify object matches for a plurality of objects within the image, receive a selected name of an identified object from the user via the input device, and transmit assistance feedback to the user indicating a position of the selected object within the field of view via the assistance feedback device.

Abstract: An apparatus for improving performance of a retinal implant may include processing circuitry. The processing circuitry may be configured to receive image data corresponding to a camera field of view, determine whether a particular object is detected within the camera field of view, perform image data processing to enable a representation of a portion of the image data corresponding to an implant field of view to be provided on a retinal implant where the implant field of view is smaller than the camera field of view, and, responsive to the particular object being located outside the implant field of view, provide a directional indicator in the implant field of view to indicate a location of the particular object relative to the implant field of view.

Abstract: A ventriculoperitoneal shunt includes a proximal catheter, a distal catheter, a shunt valve operably coupling the proximal catheter to the distal catheter, and a contrast container containing contrast material configured to change acoustic impedance proportionally to a change in pressure applied to the contrast container.

Abstract: Apparatuses, systems, and methods for object recognition and presentation are provided. An example apparatus may include a camera, an assistance feedback device, an input device, and processing circuitry. The processing circuitry may be configured receive an image from the camera, compare characteristic features within the image to an object identification dataset to identify object matches for a plurality of objects within the image, receive a selected name of an identified object from the user via the input device, and transmit assistance feedback to the user indicating a position of the selected object within the field of view via the assistance feedback device.

Abstract: A method of detecting, and classifying severity of, a retinal disease using retinal images includes at least one of receiving, retrieving or generating reference data that includes information concerning occurrences of key image features for each of a plurality of retinal disease and disease severity conditions; receiving a retinal image of an individual; processing the retinal image of the individual to identify occurrences of each of a plurality of distinguishable image features throughout at least a region of interest of the retinal image; identifying which ones of the identified occurrences of the plurality of distinguishable image features of the retinal image of the individual correspond to the key image features of the reference data; calculating, based on the identifying, a number of occurrences of each of the key image features in the retinal image of the individual; and determining at least one of a likelihood of a presence of a retinal disease or a likelihood of developing a retinal disease based o

Abstract: An apparatus for improving performance of a retinal implant may include processing circuitry. The processing circuitry may be configured to receive image data corresponding to a camera field of view, determine whether a particular object is detected within the camera field of view, perform image data processing to enable a representation of a portion of the image data corresponding to an implant field of view to be provided on a retinal implant where the implant field of view is smaller than the camera field of view, and, responsive to the particular object being located outside the implant field of view, provide a directional indicator in the implant field of view to indicate a location of the particular object relative to the implant field of view.

Abstract: A ventriculoperitoneal shunt includes a proximal catheter, a distal catheter, a shunt valve operably coupling the proximal catheter to the distal catheter, and a contrast container containing contrast material configured to change acoustic impedance proportionally to a change in pressure applied to the contrast container.

Abstract: A method of determining the presence of a pneumothorax includes obtaining a series of frames of image data relating to a region of interest including a pleural interface of a lung. The image data includes at least a first frame and a second frame. The method further includes identifying, via processing circuitry, the pleural interface in at least the first frame and the second frame, determining, based on computing optical flow between the first and second frames, a pleural sliding classification of the image data at the pleural interface, and determining whether a pneumothorax is present in the pleural interface based on the pleural sliding classification.

Abstract: A method of detecting, and classifying severity of, a retinal disease using retinal images includes at least one of receiving, retrieving or generating reference data that includes information concerning occurrences of key image features for each of a plurality of retinal disease and disease severity conditions; receiving a retinal image of an individual; processing the retinal image of the individual to identify occurrences of each of a plurality of distinguishable image features throughout at least a region of interest of the retinal image; identifying which ones of the identified occurrences of the plurality of distinguishable image features of the retinal image of the individual correspond to the key image features of the reference data; calculating, based on the identifying, a number of occurrences of each of the key image features in the retinal image of the individual; and determining at least one of a likelihood of a presence of a retinal disease or a likelihood of developing a retinal disease based o

Abstract: A method of determining the presence of a pneumothorax includes obtaining a series of frames of image data relating to a region of interest including a pleural interface of a lung. The image data includes at least a first frame and a second frame. The method further includes identifying, via processing circuitry, the pleural interface in at least the first frame and the second frame, determining, based on computing optical flow between the first and second frames, a pleural sliding classification of the image data at the pleural interface, and determining whether a pneumothorax is present in the pleural interface based on the pleural sliding classification.

Abstract: A method of determining the presence of a pneumothorax includes obtaining a series of frames of image data relating to a region of interest including a pleural interface of a lung. The image data includes at least a first frame and a second frame. The method further includes identifying, via processing circuitry, the pleural interface in at least the first frame and the second frame, determining, based on computing optical flow between the first and second frames, a pleural sliding classification of the image data at the pleural interface, and determining whether a pneumothorax is present in the pleural interface based on the pleural sliding classification.

Abstract: A method of detecting a skin condition may include employing a multiband hyperspectral sensor to obtain multi-spectral data, employing the multi-spectral data to map constitutive skin parameters to corresponding spectral signatures via a forward model that enables generation of a set of samples including a plurality of parameters mapped to a plurality of spectral signatures, utilizing the set of samples to employ machine learning to generate an inverse model to enable mapping of a spectral signature of skin of a patient to corresponding skin parameters, estimating constitutive skin parameters of the skin of the patient based on the inverse model, and determining a distribution of the constitutive parameters for one or more skin locations.

Abstract: Methods and systems to analyze and predict patient-specific physiological behavior of a human organ or anatomical entity such as the heart complex and the heart subcomponents from 3-dimensional volumetric ultrasound (3D) or time-sequential volumetric (4D) ultrasound image data, to assist physicians in performing diagnostics and cardiac preoperative planning. Also disclosed herein are methods and systems to segment patient-specific anatomical features from 3D/4D ultrasound. Also disclosed herein are methods and systems to compute patient-specific tissue motion and blood flow from 3D/4D ultrasound and contrast-enhanced 3D/4D ultrasound image data. Also disclosed herein are methods and systems to simulate the patient-specific mechanical behavior of the organ and anatomical entity using both 3D/4D ultrasound and mechanical models. Also disclosed herein are methods and systems to estimate tissue stress and strain and physiological parameters of the tissues from 3D/4D ultrasound.

Abstract: A method of detecting a skin condition may include employing a multiband hyperspectral sensor to obtain multi-spectral data, employing the multi-spectral data to map constitutive skin parameters to corresponding spectral signatures via a forward model that enables generation of a set of samples including a plurality of parameters mapped to a plurality of spectral signatures, utilizing the set of samples to employ machine learning to generate an inverse model to enable mapping of a spectral signature of skin of a patient to corresponding skin parameters, estimatingconstitutive skin parameters of the skin of the patient based on the inverse model, and determining a distribution of the constitutive parameters for one or more skin locations.

Abstract: A system for managing electronic content on a computer network comprises an electronic content library. The electronic content library is configured to store a plurality of files, and to maintain revision history data for the files stored therein. The system further comprises a web content manager configured to publish one or more of the files stored in the electronic content library on a webpage. The system further comprises a content manager. The content manager is configured to check-out a selected file from the electronic content library upon a user's request, and to check-in an updated version of the selected file to the electronic content library. Checking-in the updated version of the selected file causes the revision history data in the electronic content library to be updated. The system further comprises an event trigger subsystem configured to notify the web content manager of the updated version of the selected file based on the revision history data.

Abstract: Systems and methods provide one or more automated tools for controlling web site deployment and governing content update. Such tools ensure a consistent look-and-feel for a deployed web site, accurate content, and web site referential integrity. A web content engine advantageously manages a wide variety of web site components which are building blocks of a web site. The web content engine also manages information about relationships among the various components. In addition, the web content engine may also associate one or more workflow processes with individual components and with groups of components. A workflow process may automatically be executed when associated web content is created, modified, deleted, or the like. The web content engine may also include a deployment service that ensures that newly created or modified components are deployed in a manner that maintains the consistency or referential integrity of a web site.