The invention relates to the technical field of medical
data processing, in particular to an AI-based anorectal operation
auxiliary system, which comprises a patient
health data analysis module, a patient
health data analysis module, a
data processing module, a
data processing module, a data
processing module, a data
processing module, a data
processing module and a data processing module, wherein the patient
health data analysis module is used for classifying personal information of a patient and health data associated with
anorectal diseases on the basis of basic physiological parameters of the patient, past
anorectal disease history,
medicine allergy history and operation records; and performing
correlation analysis on the
anorectal disease history and the physiological parameters of the patient to generate preoperative health feature information. According to the method, the physiological parameters of the patient and the
past medical history are subjected to
correlation analysis, key health indexes related to the operation can be accurately extracted, potential relations in the data can be mined, and the application effect of the data is optimized. By analyzing the combination mode of different health data, the probability of occurrence of common risks in the operation can be predicted, and the accuracy of
medical decision making is enhanced. In addition, key operation steps of the
surgery are matched with the health state of the patient, potential operation difficulties are recognized, and the scheme is optimized in a targeted mode.