Abstract: A device obtains a machine readable document, and extracts plain text information from the machine readable document. The device extracts visual structural information from the machine readable document, and processes the plain text information with an artificial intelligence model to generate artificial intelligence-generated annotations. The device aligns the artificial intelligence-generated annotations and the visual structural information to generate a structured document, and provides the structured document for display.

Abstract: A device obtains a machine readable document, and extracts plain text information from the machine readable document. The device extracts visual structural information from the machine readable document, and processes the plain text information with an artificial intelligence model to generate artificial intelligence-generated annotations. The device aligns the artificial intelligence-generated annotations and the visual structural information to generate a structured document, and provides the structured document for display.

Abstract: Implementations are directed to receiving source data comprising data representative of medical events, processing the source data using natural language processing (NLP) techniques to provide a plurality of feature sets, providing event-specific predictive models based on the plurality of feature sets, each event-specific predictive model being specific to a particular medical event, receiving real-time data from data sources, the real-time data being representative of occurring healthcare conditions, processing the real-time data using at least one event-specific predictive model associated with a medical event to provide a predictive output that indicates a likelihood of occurrence of the medical event, and selectively broadcasting electronic messages to remote devices at least partially based on the predictive output, at least one electronic message including data associated with the medical event, and data indicative of information and sources of information for mitigating exposure to the medical event.