Abstract: A medical device server can include a plurality of artificial intelligence medical devices, each trained for rendering a prediction related to a disease or medical condition. A healthcare provider can obtain patient data, including medical tests results, and send them to the medical device server as a request to obtain disease or health condition predictions. The patient data can be provided to an applicable artificial intelligence medical device whose input fields data type match and are present in the patient data embedded in a request received from the healthcare provider. The applicable artificial intelligence medical devices can render disease or health condition predictions, which are communicated to the healthcare provider in response to the request.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for dynamic model selection and rule based data interpretation. The system receives a plurality of data sets from one or more external computing systems, each of the data sets including multiple data fields including one or more code values and data values for one or more medical tests. The system provides a plurality of medical test processing models wherein each medical test processing model includes a data interpretation rule structure for processing different types of the medical tests. The system selects a particular medical test processing model based on the one or more code values of the medical test. The system uses the selected medical test processing model to process the data values of the one or more medical tests to generate an interpreted medical test data set.

Abstract: A software plugin integrated with the development environment maintains a list of independently managed assets that are installed within the development environment. The independently managed assets are provided by an entity with which the software plugin can communicate to determine whether newer versions of the assets have been released. The software plugin automatically downloads and installs the newer version of the assets with minimal, if any, user intervention. Further, the software plugin monitors the interdependencies between different assets installed within the development environment. When updating to a newer version of an asset, the software plugin identifies any conflicts that may occur with regards to the interdependencies when the asset is updated.

Abstract: A software plugin integrated with the development environment maintains a list of independently managed assets that are installed within the development environment. The independently managed assets are provided by an entity with which the software plugin can communicate to determine whether newer versions of the assets have been released. The software plugin automatically downloads and installs the newer version of the assets with minimal, if any, user intervention. Further, the software plugin monitors the interdependencies between different assets installed within the development environment. When updating to a newer version of an asset, the software plugin identifies any conflicts that may occur with regards to the interdependencies when the asset is updated.