Abstract: A method for identifying relevant follow-up recommendations from medical reports includes identifying with a processor follow-up recommendations in electronically formatted prior medical reports, and visually presenting, via a display monitor, the identified follow-up recommendations. A computing apparatus (102) including a processor that obtains, in electronic format, an imaging examination order for a follow-up imaging examination of a patient, wherein the imaging examination order at least includes a unique identification of the patient, retrieves electronically formatted prior medical reports of the patient from a data repository based on the patient or the unique identification of the patient, identifies follow-up imaging recommendations in the retrieved electronically formatted prior medical reports, and visually presents the identified follow-up imaging recommendations.

Abstract: One embodiment of the present method, program, and apparatus for natural language generation enables a language generation system to generate a grammatically correct natural language sentence by retrieving and adapting one or more stored sentences having semantic features similar to semantic features of a system-generated semantic representation. The retrieval of stored sentences is guided at least in part by the ease with which the stored sentences may be adapted to produce a grammatically correct sentence, enabling rapid generation of accurate output.