Mental disorder diagnosis and treatment system based on artificial intelligence

Abstract

The invention provides a mental disorder diagnosis and treatment system based on artificial intelligence. The system comprises a patient end system, a therapist end system and an intelligent auxiliarysystem. The patient end system collects patient information and sends it to the intelligent auxiliary system for communication between the patient and the therapist. The intelligent auxiliary systemestablishes data interaction between the patient end system and the therapist end system, obtains the initial diagnosis result according to the patient information and sends the related data to the patient end system and the therapist end system. In the process of communication between the patient and the therapist, the intelligent auxiliary system recognizes the communication content, collects the patient information for the second time and processes the data collected twice to obtain the secondary diagnosis result and obtains the recommended treatment scheme according to the relevant data and sends the secondary diagnosis result and the recommended treatment scheme to the therapist end system. The therapist end system displays the patient information and the intelligent computing resultto the therapist for the therapist to communicate with the patient and sends the final diagnosis result and the treatment scheme to the patient. The diagnosis and treatment system can reduce the workload of the therapist.

Description

technical field [0001] The invention relates to the field of diagnosis and treatment of mental diseases, in particular to a system for diagnosis and treatment of mental disorders based on artificial intelligence. Background technique [0002] In medical pathology, there are many classification standards for diseases, among which, the classification and diagnosis of diseases according to etiology and pathological changes are the basic classification principles commonly used in the medical field. However, in the practice of psychiatry, it is found that the etiology and pathological changes can be accurately determined in less than 10% of cases of psychological / mental disorders, while the etiology of 90% of patients is unknown. Therefore, the diagnosis and classification of psychological / mental disorders are mainly carried out according to the principle of symptomatic classification. Symptomatic classification is a diagnostic classification standard based on common symptoms or...

AI Technical Summary

Problems solved by technology

However, in the practice of psychiatry, it is found that the etiology and pathological changes can be accurately determined in less than 10% of cases of psychological / mental disorders, while 90% of the cases of patients have unknown etiology

However, the above two medical systems using artificial intelligence only apply artificial intelligence in part of the medical treatment process, resulting in low coverage and utilization of artificial intelligence technology

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