Abstract: Techniques are disclosed for monitoring a patient for the occurrence of a cardiac arrhythmia. A computing system generates sample probability values by applying a machine learning model to sample patient data. The machine learning model determines a respective probability value that indicates a probability that the cardiac arrhythmia occurred during each respective temporal window. The computing system outputs a user interface comprising graphical data based on the sample probability values and receives, via the user interface, an indication of user input to select a probability threshold for a patient. The computing system receives patient data for the patient and applies the machine learning model to the patient data to determine a current probability value. In response to the determination that the current probability exceeds the probability threshold for the patient, the computing system generates an alert indicating the patient has likely experienced the occurrence of the cardiac arrhythmia.

Abstract: The present invention has been made in view of the foregoing, and an object thereof is to provide a method for learning a threshold that can provide a more objective threshold applied to pixels in the mammography image. The present invention provides a method for learning a threshold value applied to pixels in a mammography image comprising: an acquiring step; and a learning step, wherein in the acquiring step, the mammography image is acquired, in the learning step, a relationship between the mammography image and a mammary gland pixel estimation threshold is learned, the mammary gland pixel estimation threshold is a threshold value used to calculate a mammary gland pixel area of each pixel of a mammary gland region in the mammography image, and the mammary gland pixel area is a value indicating a degree of a mammary gland pixel-likeness of the pixel in the mammography image.

Abstract: Various methods and systems for providing a user interface (UI) generation system for processing UI generation data based on a multi-layer architecture and hierarchically interrelated and supervised scene processes are provided. The UI generation system supports generating UIs based on a scene layer, a viewport layer, and a driver layer that each use protocols and data structures to support UI generation, UI fault recovery operations, and distributed UI generation for UI viewing devices. In operation, scene configuration data is communicated to a viewport engine from a scene engine, the viewport engine uses the scene configuration data to construct a scene management data structure that is defined based on hierarchically arranging and supervising different scene processes. The scene management data structure is used to define scene rendering data that is accessed by a driver engine to cause generation of UI display content, locally or remotely based on the scene rendering data.

Abstract: Example embodiments allow for fast, efficient detection and pose estimation of objects based on point clouds, depth images/maps, or other depth information about a scene that may contain the objects. Embodiments include translating and rotating the depth image to bring individual points of the depth image to a standard orientation and location so as to improve performance when an object is near the periphery of the field of view. Some disclosed embodiments include applying a random forest to perform pose estimation. By using the decision trees or other fast methods, it can be advantageous to perform pose estimation a plurality of times prior to identifying whether a particular object is actually present in a scene. Prospective pose estimates can be combined with models of the objects in order to evaluate whether the object is present in the scene.

Abstract: A method of determining a clinical value for an individual based on a tumor in an image by an apparatus including processing circuitry may include executing, by the processing circuitry, instructions that cause the apparatus to determine a lymphocyte distribution of lymphocytes in the tumor based on the image; apply a classifier to the lymphocyte distribution to classify the tumor, the classifier having been trained to classify tumors into a class selected from at least two classes respectively associated with lymphocyte distributions; and determine the clinical value for the individual based on prognoses of individuals with tumors in the class into which the classifier classified the tumor.

Abstract: A medical information processing system according to an embodiment of the present disclosure includes a first processing circuit configured: to cause a display circuit to display a first image obtained by a medical image diagnosis apparatus; to cause the display circuit to display a plurality of regions classified in correspondence with a plurality of diseases and to display, in each of the plurality of regions, a representative image related to a corresponding one of the diseases; to receive a correspondence operation to bring the first image displayed by the display circuit into correspondence with one of the plurality of regions; and to cause, in response to the correspondence operation, a storage circuit to store therein, with respect to each of the diseases, the first image displayed by the display circuit as a verification requiring image related to the disease corresponding to the region brought into correspondence therewith.

Abstract: Techniques disclosed herein relate to nutritional content determination based on gesture detection data. In some embodiments, the techniques involve obtaining gesture detection data corresponding to consumption of a food item or a drink; determining, based on the gesture detection data, nutritional content of the food item or the drink; and causing delivery of insulin in accordance with the nutritional content of the food item or the drink.

Abstract: The present disclosure provides systems and methods for improving detection and location determination accuracy of abnormalities during a gastroenterological procedure. One example method includes obtaining a video data stream generated by an endoscopic device during a gastroenterological procedure for a patient. The method includes generating a three-dimensional model of at least a portion of an anatomical structure viewed by the endoscopic device based at least in part on the video data stream. The method includes obtaining location data associated with one or more detected abnormalities based on localization data generated from the video data stream of the endoscopic device. The method includes generating a visual presentation of the three-dimensional model and the location data associated with the one or more detected abnormalities; and providing the visual presentation of the three-dimensional model and the location data associated with the detected abnormality for use in diagnosis of the patient.

Abstract: A method, apparatus, system, and computer program product provide the ability to enhance linear video content. Linear video content is received. A request to enhance the linear video content is received. Based on the request, a toolbar with options for enhanced content is rendered. One or more of the options are selected. Based on the selection, the enhanced content is invoked simultaneously with a rendering of the linear video content.

Abstract: The present disclosure relates to systems and methods for image processing. The system may obtain at least one image of an object. For each of the at least one image, the system may determine a recognition result of the image. The recognition result may include an image type of the image, a type of a lesion in the image, a region of the lesion in the image, and/or an image feature of the image. Further, the system may process the at least one image of the object based on at least one recognition result corresponding to the at least one image.

Abstract: A method, computer system, and a computer program product for cross-information architecture (IA) historical breadcrumb control is provided. The present invention may include generating a historical breadcrumb control on a user device. The present invention may also include rendering a list of breadcrumb trails in the generated historical breadcrumb control in a temporal order, wherein each breadcrumb trail in the rendered list of breadcrumb trails represents a page location path of an IA accessed by a user.

Abstract: An artificial intelligence-based image processing method includes: obtaining a first sample image of a source domain and a second sample image of a target domain, the first sample image of the source domain carrying a corresponding target processing result; converting the first sample image into a target sample image, the target sample image carrying a corresponding target processing result; training a first image processing model based on the target sample image and the target processing result corresponding to the target sample image, to obtain a second image processing model; and inputting, in response to obtaining a human tissue image of the target domain, the human tissue image into the second image processing model, positioning, by the second image processing model, a target human tissue in the human tissue image, and outputting position information of the target human tissue in the human tissue image.

Abstract: Method, system and computer program product for accessibility content editing, control and management. Digital content container for receiving plurality of elements modifiable via an application programming interface exposed by content structure thereof, and being associated with accessibility output for presentation responsive to processing by an assistive tool, is obtained. Responsive to receiving input indicating user selection of an element, an accessibility content editing interface is provided for obtaining modified accessibility output. The application programming interface is employed to modify the element by injection thereto the modified accessibility output to cause, responsive to the element being processed by an assistive tool applied to the digital content container, presentation of the modified accessibility output in substitution of the accessibility output associated with the element.

Abstract: Embodiments of the present disclosure provide for improved interoperable data management between a user-accessed software application and an embedded software application. In some contexts, a user-accessed application provides both its own functionality as well as enabling access to functionality of an embedded application. The embedded application is rendered to a selected user engagement mode based on an embedded application mode identification instruction from the user-accessed application. In some embodiments, a user-accessed application may be configured to provide functionality of multiple embedded applications consistent with the innovations herein described.

Abstract: The present disclosure involves systems, software, and computer implemented methods for generating a unified semantic model identifying a user's intentions or goals within operating the system. By determining the intent and desires of the user, tasks and queries associated with or requested by the user can be more effectively optimized, automated, or otherwise improved. In some computing environments, multiple users access a database which includes a collection of software objects. The objects within the database can sometimes form a hierarchy, with a parent-child relationship among them. Traditionally, a developer creating the database and the objects within can only determine a user's intent based on the actions taken by the user within the database. The present solution provides the developer with a higher level model representing different users' intents based on observed data from a number of sources in addition to the user's interaction with the database.

Abstract: Systems and methods for a media content user interface. A media content provider includes storage for storing and serving video content to subscribers. The media content provider records and or otherwise stores video content from around the world. Subscribers are provided a user interface to the system that includes a side bar. The side bar includes multiple elements representing different categories of video content. By selecting a given category, available content is filtered according to the selected category and presented. Content which is presented may include live broadcast video for multiple channels on multiple television networks or other content providers. The side bar may further include a collection category specific to a given viewer. Selection of such a category may display video content within the collection. Subcategories in the side bar may be selected for further filtering of available content.

Abstract: An estimation program causing a computer to execute a step (S104) of acquiring a learned detection model and a constituent component model, a step (S202) of outputting constituent component detection results based on the new image using the learned detection model, a step (S203) of estimating first primary component candidates based on the constituent component model and the constituent component detection results and sorting out a secondary component not registered with a list of the first primary component candidates, a step (S204) of merging a plurality of the first primary component candidates to generate a second primary component candidate, and a step (S205) of selecting a secondary component matching the second primary component candidate from among a plurality of secondary components sorted out and registering the selected secondary component with the second primary component candidate.

Abstract: Implementation of a guided rules editor comprises displaying a view of a user interface (UI) of the guided rules editor to a user on the client device. Metadata of an organization to which the user belongs is fetched and used to identify which data of the organization is eligible for rule creation and attributes of the metadata are used to determine a layout of the one or more UI selection elements. One or more UI selection elements are rendered in one or more positions in the view on a display screen according to the layout and at least a portion of the one or more UI selection elements are populated with the data of the organization. Responsive to receiving user input of the one or more UI selection elements, an organization-specific rule is generated and saved to a data repository for execution by a rules engine after rule compilation.

Abstract: A computer program causes a computer to execute processing for acquiring examination point information regarding an examination point included in an examination target portion using an endoscope, acquiring an endoscopic image captured by the endoscope, determining whether the endoscope has reached the examination point on the basis of image analysis of the acquired endoscopic image, and outputting a notification in a case where the endoscope has reached the examination point.

Abstract: Implementation of a guided rules editor comprises displaying a view of a user interface (UI) of the guided rules editor to a user on the client device. Metadata of an organization to which the user belongs is fetched and used to identify which data of the organization is eligible for rule creation and attributes of the metadata are used to determine a layout of the one or more UI selection elements. One or more UI selection elements are rendered in one or more positions in the view on a display screen according to the layout and at least a portion of the one or more UI selection elements are populated with the data of the organization. Responsive to receiving user input of the one or more UI selection elements, an organization-specific rule is generated and saved to a data repository for execution by a rules engine after rule compilation.