Abstract: Provided are techniques for automated software testing using simulated user personas. A request to test software is received. Job roles, user software activities for the software to be tested, and objectives are automatically identified using a first machine learning model. A test operation sequence using the job roles, the user software activities, and the objectives to test the software is generated using a second machine learning model. The test operation sequence is executed to simulate different users having different job roles using the software with the user software activities to achieve the objectives.

Abstract: An apparatus for locating an embedded passive integrated transponder (PIT) tag is provided. An embodiment of the locating apparatus includes a resonator capable of electromagnetically coupling to the PIT tag, and a feedback circuit connected to the resonator and configured to monitor a load conductance of the resonator. A distance between the resonator and the PIT tag is indicated by a change in the monitored load conductance when the resonator and the PIT tag are electromagnetically coupled. Another embodiment includes a resonator capable of stimulating a response signal from a PIT tag, and a processing circuit capable of calculating the distance between the resonator and the PIT tag based on the amplitude of the response signal.

Abstract: Provided are techniques for automated software testing using simulated user personas. A request to test software is received. Job roles, user software activities for the software to be tested, and objectives are automatically identified using a first machine learning model. A test operation sequence using the job roles, the user software activities, and the objectives to test the software is generated using a second machine learning model. The test operation sequence is executed to simulate different users having different job roles using the software with the user software activities to achieve the objectives.

Abstract: A medical and/or clinical report includes one or more links to various external (and/or internal) data sources and/or systems that include information relevant to the medical report. In an embodiment, a medical report may be in a PDF format and include links to images associated with the exam, information regarding the patient, a scheduling application useful to schedule additional procedures for the patient, and/or any other information associated with the patient or exam. The medical report, including various links, may be generated based on information received from external medical data systems. For example, a medical report from an external system may be updated to include various links to systems and sources of data related to the medical report, as described herein.

Abstract: Database systems and techniques are disclosed for accessing data stores of digital medical images, processing the digital images, and displaying the digital images to efficiently provide information in an interactive user interface. The disclosure may advantageously provide efficient and rapid dynamic interaction with digital images accessed from one or more databases to enable user detection of differences between related digital images. Interactive user interfaces may be dynamically updated to provide rapid comparison of digital images. Further, digital images from multiple data sources may be automatically sorted by the system according to attributes associated with the images and rules and/or preferences of the user. In an embodiment the user may select a digital image from a first data source, and the system automatically determines and displays one or more comparison images from other image data sources.

Abstract: A golf ball remover allows easy removal of a golf ball from a golf hole while the flagstick is left in place, thereby sparing physical strain on the golfer and potential damage to the hole. The golf ball remover may user the flagstick itself as a movement guide, with a ball grabbing component that is not kept within the hole, but instead is stored above the hole on the flagstick and is pushed down into the hole when used. The golf ball remover may be attached to a retractable cord and/or other movement component to automatically lift it out of the hole.

Abstract: A brim extender attaches to any standard baseball-style cap and may provide one or more functions, such as (1) extending sun protection along the sides and posterior portion of the hat, (2) changing the style and appearance of the hat, (3) providing a new promotional item (e.g., a new thing that can be labeled, colored, or styled to market a brand), and/or (4) providing an added barrier between the head and the crown of the cap to shield or partially shield the cap from perspiration and other substances coming from the scalp or hair.

Abstract: Database systems and techniques are disclosed for accessing data stores of digital medical images, processing the digital images, and displaying the digital images to efficiently provide information in an interactive user interface. The disclosure may advantageously provide efficient and rapid dynamic interaction with digital images accessed from one or more databases to enable user detection of differences between related digital images. Interactive user interfaces may be dynamically updated to provide rapid comparison of digital images. Further, digital images from multiple data sources may be automatically sorted by the system according to attributes associated with the images and rules and/or preferences of the user. In an embodiment the user may select a digital image from a first data source, and the system automatically determines and displays one or more comparison images from other image data sources.

Abstract: A smart placement module determines components of received medical data, such as medical reports and image montages, to forward to one or more secondary location, such as an EMR system, based on smart placement rules that are established by a user that receives the medical data, such as a referring doctor. Thus, the smart placement module decreases or removes the need for the receiving user to manually select and transfer certain medical data for storage at the EMR system. Accordingly, the receiving user, and other authorized EMR system users, may have prompt access to the medical data via their respective connections to the EMR system. In one embodiment, the smart placement module transmits a patient identification file that is usable by the receiving EMR system to allow the EMR system to associate received medical data with other data regarding a respective patient.

Abstract: An apparatus for locating an embedded passive integrated transponder (PIT) tag is provided. An embodiment of the locating apparatus includes a resonator capable of electromagnetically coupling to the PIT tag, and a feedback circuit connected to the resonator and configured to monitor a load conductance of the resonator. A distance between the resonator and the PIT tag is indicated by a change in the monitored load conductance when the resonator and the PIT tag are electromagnetically coupled. Another embodiment includes a resonator capable of stimulating a response signal from a PIT tag, and a processing circuit capable of calculating the distance between the resonator and the PIT tag based on the amplitude of the response signal.

Abstract: A method and system is provided for automatically determining a key image for display to a user as part of analyzing an image study generated as part of a medical imaging procedure. The system includes a memory storing a plurality of image studies, a display device for displaying images and an electronic processor interacting with the memory and the display device. The electronic processor is configured to determine a first key image within a plurality of images included in a first image study and to automatically determine, by executing one or more rules associated with one or more of the first key image, a user, a type of the first image study, a modality generating the first image study, an anatomy, a location of the modality, and patient demographics, a second key image included in at least one second image study. The system displays the second key image with the first key image to aid a user.

Abstract: A user input interface on a mobile device may employ a set of routines to control computing functions on a computer. Computing functions may be associated with elements of the user input interface, such that the elements may be used to control the associated computing functions. The associations of computing functions and user input interface elements may be stored in a database.

Abstract: A system and method for transmitting medical data. In one embodiment, a computer system receives filter criteria from a user of a first computer. Furthermore, the computer system may receive schedule information defining a schedule for checking for medical data. Depending on the embodiment, either the computer system or a remote server periodically selects, based upon the received schedule, medical data satisfying the received user-specific rules. The selected medical data is then transmitted to the computer system.

Abstract: For certain medical images, it is important and/or required that a user view all of a medical image at full resolution so that minute, but important, indicia in the medical image are not missed. A computing systems monitor the portions of the medical image that are displayed on the display device, notates those portions that have been displayed at full resolution (or other user-defined display parameters), and provides the user with information indicating portions that have not been viewed at full resolution and/or provides information indicating for which images of a multiple image examination full pixel display has been accomplished. The process reduces the possibility of missing an abnormality in a medical image due to the viewer not viewing a portion of the image at full resolution or using other user defined display parameters.

Abstract: A user input interface on a mobile device may employ a set of routines to control computing functions on a computer. Computing functions may be associated with elements of the user input interface, such that the elements may be used to control the associated computing functions. The associations of computing functions and user input interface elements may be stored in a database.

Abstract: Systems and methods for reviewing medical images. One system includes an electronic processor configured to create a data structure for tracking anatomical findings. The electronic processor is further configured to receive a first annotation marking a first anatomical finding within a first electronic medical image, wherein the first electronic medical image was captured during a first imaging procedure of an anatomical structure, and add data to the data structure representing a first parameter of the first anatomical finding. The electronic processor is also configured to receive a second annotation marking a second anatomical finding within a second electronic medical image, wherein the second electronic medical image was captured during a second imaging procedure of the anatomical structure, and add data to the data structure representing a second parameter of the second anatomical finding. The electronic processor is also configured to display at least a portion of the data structure.

Abstract: Systems and techniques are disclosed for improvement of machine learning systems based on enhanced training data. An example method includes providing a visual concurrent display of a set of images of features, the features requiring classification by a reviewing user. The user interface is provided to enable the reviewing user to assign classifications to the images, the user interface being configured to create, read, update, and/or delete classifications. The user interface is responsive to the user, with the user response indicating at least two images with a single classification. The user interface is updated to represent the single classification.

Abstract: Medical imaging device- and display-invariant segmentation and measurement is provided. In various embodiments, a plurality of medical images is read from a data store. Metadata of each of the plurality of medical images is read. The metadata identifies an image acquisition device associated with each of the plurality of medical images. Based on the plurality of medical images and the metadata of each of the plurality of images, a learning system is trained to determine one or more image correction parameters. The one or more image correction parameters optimize segmentation of the plurality of medical images.

Abstract: A method, computer system, and a computer program product for dynamically altering at least one image is provided. The present invention may include receiving a plurality of data, wherein the received plurality of data includes at least one existing medical image. The present invention may also include determining that one or more user instructions for the received existing image were received. The present invention may then include implementing the one or more user instructions on the received existing medical image. The present invention may also include altering the received existing medical image based on the one or more implemented user instructions and a medical knowledge base.

Abstract: Systems and techniques are disclosed for improvement of machine learning systems based on enhanced training data. An example method includes providing a visual concurrent display of a set of images of features, the features requiring classification by a reviewing user. The user interface is provided to enable the reviewing user to assign classifications to the images, the user interface being configured to create, read, update, and/or delete classifications. The user interface is responsive to the user, with the user response indicating at least two images with a single classification. The user interface is updated to represent the single classification.