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Caries diagnosis system based on artificial intelligence

A diagnosis system and intelligent diagnosis technology, applied in the fields of computer science and medicine, can solve the problems of slow diagnosis speed, low efficiency of artificial diagnosis, uneven distribution of medical resources, etc., and achieve the effect of low cost and easy operation.

Pending Publication Date: 2021-05-14
HUNAN UNIV
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is that due to the rapid increase in the number of visits to the dental department, the uneven distribution of medical resources, and the slow diagnosis speed caused by the low efficiency of artificial diagnosis, an artificial intelligence-based caries disease diagnosis system

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  • Caries diagnosis system based on artificial intelligence
  • Caries diagnosis system based on artificial intelligence

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Embodiment Construction

[0016] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0017] Refer to attached figure 1 , 2 , a caries diagnosis system based on artificial intelligence proposed by the present invention is specifically realized through the following steps:

[0018] The present invention realizes through following technical scheme:

[0019] A dental caries diagnosis system based on artificial intelligence, the system is composed of an image acquisition module, a data transmission module, an intelligent diagnosis module, and a diagnosis result display module;

[0020] The image collection module is used to collect the real image of the whole picture of the teeth in the oral cavity. It uses the oral mouth support as an auxiliary tool to open and fix the oral cavity so as to facilitate image collection; the image collection module uses the camera system of the mobile phone or tablet device as the Capture...

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Abstract

The invention discloses a caries diagnosis system based on artificial intelligence. The system is composed of an image acquisition module, a data transmission module, an intelligent diagnosis module and a diagnosis result display module. The system uses stored caries case big data, cooperates with artificial intelligence and a cloud computer to train an artificial intelligence diagnosis model of caries, obtains oral tooth image information of a user in a mobile phone and tablet camera shooting mode, and uses a user client and a flash as data transmission media to carry out data transmission. Image processing and caries diagnosis are carried out through the trained model, the diagnosis result is displayed on a user interface in an image form in a user client, operation is easy and convenient, cost is low, and caries patients can be effectively helped to discover caries as soon as possible and see a doctor in time.

Description

technical field [0001] The invention relates to the fields of computer science and medicine, in particular to a caries diagnosis system based on artificial intelligence. Background technique [0002] Dental caries is one of the three major oral diseases identified by the World Health Organization (WHO). The incidence rate is 80% to 90%, but the actual visit rate is only about 10%, which means that many patients have not received corresponding diagnosis and treatment. Severe dental caries can lead to pulp disease, periapical disease, jaw inflammation and other diseases. The residual roots and crowns of dental caries and the loss of tooth body damage the integrity of masticatory organs, thereby affecting the digestive function. Caries can affect the growth and development of the dental system and affect the aesthetics of teeth. [0003] Traditional caries inspection and diagnosis methods include inspection, probing, temperature diagnosis, X-ray inspection, etc., all of which ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G16H50/70G16H30/40
CPCG16H50/20G16H50/70G16H30/40
Inventor 彭绍亮崔勇辉许钰涵刘浩唐卓肖晟
Owner HUNAN UNIV
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