Intelligent hospital guide method for cardiopulmonary examination image based on artificial intelligence

Abstract

The invention provides an intelligent hospital guide method for a cardiopulmonary examination image based on artificial intelligence, which comprises the following steps: S1, acquiring a cardiopulmonary front image and a cardiopulmonary side image, calculating structural vertexes of the acquired cardiopulmonary front image and cardiopulmonary side image, and acquiring space coordinates of cardiopulmonary key points according to the acquired structural vertexes; S2, matching and comparing the space coordinates of the heart-lung key points with reference coordinates on a pre-created standard heart-lung model; S3, comparing the patient cardiopulmonary model with a historical patient cardiopulmonary model, and exporting a suspected disease corresponding to a comparison result; and S4, selecting a corresponding doctor list for the suspected symptoms of the patient, and forming recommended doctors in the doctor list. according to the method, the heart-lung model of the patient is compared with the sick heart model and the sick lung model in the database, the suspected disease is generated, the patient is registered according to the suspected disease, and the waiting time for seeing a doctor of the patient is shortened.

Description

Technical field [0001] The present invention relates to the field of image labeling, and in particular to intelligent guidance methods based on artificial intelligence. Background technique [0002] In recent years, people's survival environment suffer more and more serious, people's diseases are also increasingly high, especially cardiopulmonary diseases, and to judge the condition of cardiopulmonary disease, CT images are an important reference, At present, self-catering CT testing equipment has enabled patients; [0003] However, after the shooting of CT images with self-service CT detection equipment, the patient often could not understand the content presented by the CT image. They can only take a CT image to the hospital to ask the doctor, understand, because I don't know the suspected illness yourself. However, only the upper large department room, through the judgment of the medal train guide, and then accurately guide the relevant sub-department, very delayed the patient...

AI Technical Summary

Problems solved by technology

[0003] However, after taking CT images with self-service CT detection equipment, patients often cannot understand the content presented by the CT images, so they can only take the CT images to the hospital to ask the doctor to understand, because they do not know the suspected disease they are suffering from. , you can only register with the upper-level department, and then accurately guide the doctor to the relevant small department based on the judgment of the guiding doctor in the large department. The waiting time for medical treatment has further increased, causing delays to the patient's condition;

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