A computer-implemented method for answering natural language medical information questions posed by a user of a medical conversational interface of a cognitive artificial intelligence system, the method comprising: receiving from a medical conversational user interface a user-generated natural language medical information query at an artificial intelligence-based medical conversation cognitive agent; extracting a medical question from the query; compiling a medical conversation language sample; extracting internal medical concepts and medical data from the sample, where the internal medical concepts include descriptions of medical attributes of the medical data entities; inferring a therapeutic intent of the user; generating a therapeutic paradigm logical framework for interpreting of the medical question, wherein logical framework comprises a catalog of medical logical progression paths from the medical question to respective therapeutic answers, each of the logical progression paths includes one or more medical logical linkages from the medical question to a therapeutic path-specific answer, and the medical logical linkages include the internal medical concepts and external therapeutic paradigm concepts derived from a store of medical subject matter ontology data; selecting a likely medical information path based upon the therapeutic intent of the user; and answering the medical question.