The application discloses a
medical diagnosis intelligent agent system and method under
privacy protection, and belongs to the
cross field of
artificial intelligence and
medical health. In view of the problems that
privacy protection and diagnosis utility are difficult to balance, and medical illusion is easy to occur in multi-agent consultation in the prior art, the application comprises the following steps: a hospital local end extracts
electronic medical record bottom features and evaluates medical importance, and transmits the features to a cloud end after self-adaptive
noise adding to fine-tune a multi-agent
system; a patient local end carries out safe word replacement, generates a disguised prompt word, and uploads the prompt word to the cloud end; a
cloud server uses a general practitioner
intelligent agent for
triage, and guides each specialist
intelligent agent to carry out multi-round consultation by a attending physician intelligent agent, generates a disguised diagnosis report, and issues the report; and finally, a patient local end uses a semantic reconstruction model to restore and output a final diagnosis report. The application constructs a three-party collaborative
closed loop, overcomes medical illusion and context fragmentation under the premise of protecting privacy, and significantly improves the accuracy and landing feasibility of the diagnosis
system.