SYSTEM AND METHOD FOR TEMPLATIZING CONVERSATIONS WITH AN AGENT AND USER-ORIGINATED FOLLOW-UPS

摘要

A method for answering a user-generated natural language medical information query based on a diagnostic conversational template, including: receiving a medical information query at an artificial intelligence-based diagnostic conversation agent; responsive to content of the query, selecting a diagnostic fact variable set relevant to generating an answer for the query by classifying the query into a domain-directed medical query classification associated with respective diagnostic fact variable sets; compiling user-specific medical fact variable values for respective medical fact variables of the diagnostic fact variable set, where the compiling further includes: extracting a first set of user-specific medical fact variable values from a local user medical information profile associated with the query and requesting a second set of user-specific medical fact variable values through questions; and generating an answer in response to the query.