This invention relates to the field of medical
artificial intelligence technology, and in particular to an AI-assisted diagnostic decision-making
system for rare bladder diseases. The
system includes modules for
data acquisition,
feature extraction and quantification, an AI rule-based reasoning engine, error warning, and treatment decision output. Its core lies in using
natural language processing technology to transform unstructured clinical text into feature tags. The AI engine then executes a multi-level identification process of "excluding infection – rapid screening of
medical history – precise matching," outputting a
list of candidate diseases sorted by probability. Simultaneously, the
system can automatically warn of clinical errors such as antibiotic abuse and overtreatment, and generate a comprehensive report including primary care treatment plans and
referral criteria. This invention combines a
rule engine with intelligent reasoning, providing primary care physicians with a standardized and easy-to-use auxiliary diagnostic tool, which helps improve the efficiency and
standardization of
rare disease diagnosis and has high clinical translational value.