Abstract: Guidance may be provided to users, at least in part, by graphic overlays on displays of ultrasound images. The guidance may assist users in acquiring images suitable for making hepato-renal index (HRI) measurements. In some examples, the guidance may assist the user in finding the proper imaging plane including a portion of the liver and kidney. In some examples, the guidance may further assist the user in proper placement of regions of interest within the image for calculating the HRI, such as at the same depth and appropriate portions of the liver and kidney. In some examples, one or more processors may analyze the image to ensure the quality is suitable for calculating the HRI.

Abstract: An electrochemical cell and battery system including cells, each cell including a catholyte, an anolyte, and a separator disposed between the catholyte and anolyte and that is permeable to the at least one ionic species (for example, a metal cation or the hydroxide ion). The catholyte solution includes a ferricyanide, permanganate, manganate, sulfur, and/or polysulfide compound, and the anolyte includes a sulfide and/or polysulfide compound. These electrochemical couples may be embodied in various physical architectures, including static (non-flowing) architectures or in flow battery (flowing) architectures.

Abstract: An ultrasound imaging system may acquire an image of a liver. The liver may be segmented from the image. Parameters, such as image homogeneity map, intensity probability chart, and/or speckle size diagram, may be extracted from the liver portion of the image. The parameters may be used to determine whether fatty liver deposits are diffuse or inhomogeneous. In some examples, inhomogeneous regions may be excluded from the calculation of liver fat quantification measurements. In some examples, the inhomogeneous regions may be displayed so that a user may select a region of interest that excludes the inhomogeneous regions to calculate the liver fat quantification measurements.

Abstract: A method of implementing administrative services for managing group feedback is disclosed. A selection of a feedback visibility setting for a feedback message from a plurality of predefined feedback visibility settings is received via a give feedback tab of a user interface. The feedback message and a selection of one or more recipients are received via the give feedback tab. The feedback message is sent to the selected one or more recipients based on the selected feedback visibility setting. A request for feedback and a selection of one or more feedback providers are received via a request feedback tab of the user interface. The request for feedback is sent to the selected one or more feedback providers. Received feedback responses linked to a user profile of the feedback requestor are stored.

Abstract: Methods, systems, and computer program products for using a confidence measure to automatically identify a diagnostic analyzer that applies to a diagnostic artifact. A plurality of diagnostic analyzers are each configured to analyze diagnostic artifacts relating to prior executions of software entities. A confidence measure is calculated for each diagnostic analyzer. Each confidence measure indicates a likelihood that the diagnostic analyzer applies to a particular diagnostic artifact. Calculating each confidence measure comprises applying one or more heuristics specific to the diagnostic analyzer against the particular diagnostic artifact, with an outcome of application of each heuristic contributing to the confidence measure for the respective diagnostic analyzer.

Abstract: Methods, systems, and computer program products for using a confidence measure to automatically identify a diagnostic analyzer that applies to a diagnostic artifact. A plurality of diagnostic analyzers are each configured to analyze diagnostic artifacts relating to prior executions of software entities. A confidence measure is calculated for each diagnostic analyzer. Each confidence measure indicates a likelihood that the diagnostic analyzer applies to a particular diagnostic artifact. Calculating each confidence measure comprises applying one or more heuristics specific to the diagnostic analyzer against the particular diagnostic artifact, with an outcome of application of each heuristic contributing to the confidence measure for the respective diagnostic analyzer.