Device for automatically diagnosing orthopedic diseases based on medical image information

Abstract

The invention discloses a device for automatically diagnosing orthopedic diseases based on medical image information. The device is characterized by comprising a medical image acquisition module, an identification module, an orthopedic knowledge database, a diagnosis inference engine and an output module. The medical image acquisition module is used for acquiring medical image information; the identification module is used for analyzing the medical image information and identifying and labeling entities and relationships contained in the medical image information; the orthopedics knowledge database is used for storing an orthopedics knowledge graph containing orthopedics entities and relations; the diagnosis inference engine is used for combining the entities and the relationships identified in the medical image information with the orthopaedic knowledge graph and carrying out reasoning judgment to obtain a diagnosis result; and the output module is used for outputting the diagnosis result. The device can significantly improve the accuracy and efficiency of orthopedic disease diagnosis.

Description

technical field [0001] The invention belongs to the technical field of medical devices, and in particular relates to a device for automatically diagnosing orthopedic diseases based on medical image information. Background technique [0002] When orthopedic surgeons diagnose diseases, most of them rely on medical images of patients. At present, when doctors use medical images, they basically conduct on-site inspections first, and then give diagnosis results based on their own knowledge and experience. Due to differences in the knowledge reserve and clinical experience of different doctors, it will lead to large deviations in diagnosis results and treatment plans. Moreover, this method takes a long time, has low efficiency and low accuracy. [0003] In order to solve the above problems, some doctors now manually mark the medical imaging equipment or the original image, and then measure the parameters based on this, and finally give the processing method of the diagnosis resu...

AI Technical Summary

Problems solved by technology

However, this method is also very time-consuming, and there are relatively large measurement errors; more importantly, if the lesion is not obvious on the image, or the doctor's knowledge and experience are lacking, it

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