Abstract: A diagnostic support system for radiologists includes a user interface configured to receive user input and present relevant content, the user input comprising medical imaging data and speech input, an AI engine configured to process medical imaging data, a content matching engine comprising a relevance determinator and neural network, a content retrieval module configured to retrieve content from a multi-modal content database storing peer-reviewed resources, a speech recognition module, an image processing module, and an external systems interface configured to communicate with hospital information systems. The relevance determinator assesses significance and applicability of retrieved content, the neural network recognizes patterns and determines relevance, and the AI engine combines outputs to produce matched content comprising real-time diagnostic support presented via the user interface.