Abstract: The present invention relates generally to a system and methods for medical image analysis and reporting. Specifically, certain preferred embodiments relate to a system that is configurable to receive a variety of inputs such that a user may choose the images, information, data, or other content reviewed by the user, the information that will result from that review and be inputted into the system, and the type of report that may be generated. In certain embodiments, the system facilitates matching the inputs to terms of a set of structured data elements to produce one or more templates that a user may select. An identifier including at least one term from the selected template may be assigned to the image. The system may then access an identified image database and process images with the identifier to produce a machine learning model, which can then be used to train a machine learning algorithm.

Abstract: Speech recognition methods, systems, and interfaces are used in the generation of medical reports from data in a hierarchically-organized database for the entry and searching of data in a database based on spoken utterances of a user. A workflow function facilitates a series of contexts, typically based on information in a knowledge base, that are used to establish procedural rules and word-mapping databases for each context for word-matching data entry based on spoken utterances of a user. The generation of medical reports from the entered medical data provides for searching the database generated using the speech recognition methods. The series of contexts and word-mapping databases are developed using a hierarchically-organized database representation based on knowledge regarding the relationship of data items in the main database.

Abstract: Speech recognition methods, systems, and interfaces are used in the generation of medical reports from data in a hierarchically-organized database for the entry and searching of data in a database based on spoken utterances of a user. A workflow function facilitates a series of contexts, typically based on information in a knowledge base, that are used to establish procedural rules and word-mapping databases for each context for word-matching data entry based on spoken utterances of a user. The generation of medical reports from the entered medical data provides for searching the database generated using the speech recognition methods. The series of contexts and word-mapping databases are developed using a hierarchically-organized database representation based on knowledge regarding the relationship of data items in the main database.