Medical diagnostic robot system

Abstract

The present invention discloses a medical diagnosis robot system. The system comprises a voice system module, an image processing system module, an image recognition detection system module and a medical knowledge base cloud service system module. The voice system module is used for collecting language information of a patient that needs to be diagnosed; the image recognition detection system module is connected with the image processing system module; and the medical knowledge base cloud service system module is connected with the voice system module and the image recognition detection system module respectively, and is used for storing the preset medical knowledge base, selecting corresponding diagnostic data in the medical knowledge base, and sending the data to the user. According to the medical diagnosis robot system disclosed by the present invention, diagnosis can be accurately performed on the disease and etiology of the patient, an ideal diagnosis and treatment plan can be provided for the patient, valuable treatment time of the patient can be saved, the patient can be ensured to be treated in time, the urgent need of the patient for medical diagnosis can be satisfied, and quality of life for people can be improved.

Description

Technical field [0001] The invention relates to the technical fields of speech recognition, image recognition, medical field, database cloud computing and the like, and particularly relates to a medical diagnosis robot system. Background technique [0002] At present, with the continuous development of human science and technology, deep learning is becoming an emerging field in the field of machine learning. In recent years, the application of deep learning has become more and more extensive, and it has been involved in speech recognition, image recognition, natural language processing and other fields. Deep learning will continue to affect other key areas of machine learning and artificial intelligence. [0003] In the two fields of artificial intelligence and big data cloud computing, first, the emergence of deep learning models has brought about changes in many fields. Many problems that could not be solved in the past, such as autonomous driving, have become a reality, and the...

AI Technical Summary

Problems solved by technology

In hospitals in remote areas, the resources of doctors are even scarcer, and there are often situations where medical treatment cannot be performed in time, and effective medical protection for the life and health of patients cannot be provided in time.

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