Method for detecting distribution of caries and dental plaque based on AI algorithm

Abstract

The invention relates to the technical field of clinical oral medicine, and discloses a method for detecting distribution of caries and dental plaque based on an AI algorithm. The implementation method comprises the following steps of S10, constructing a caries and dental plaque data set; S20, training a caries and dental plaque detection model; and S30, applying the caries and dental plaque detection model. According to the method, distribution of caries and dental plaque is detected through caries and dental plaque data set construction, caries and dental plaque detection model training and caries and dental plaque detection model application training AI algorithm model under the condition that manual intervention is not needed, the detection result meets caries diagnosis gold standards (tissue slices) and dental plaque diagnosis standards, the sensitivity and the specificity of specific dental face judgment are even superior to those of visual diagnosis and probing diagnosis of experienced doctors, so that detection result errors caused by different appearances, illumination and shooting angles of other equipment are avoided, and meanwhile, doctors and professionals are liberated.

Description

technical field [0001] The invention relates to the technical field of clinical stomatology, in particular to a method for detecting and distributing dental caries and dental plaque based on an AI algorithm. Background technique [0002] Caries and periodontal disease are the two main inherent diseases of the oral cavity; caries is a bacterial disease caused by multiple factors, and the lesion ranges from shallow to deep and can involve enamel, dentin, and cementum; if not treated in time , pathogenic bacteria can further invade the dental pulp, causing pulpitis or apical periodontitis, and even lead to tooth loss in severe cases; dental plaque is the initiating factor of periodontal disease, whether to control plaque in time can directly Affects the occurrence and prognosis of periodontal disease; periodontal disease includes gingival disease and periodontitis, and the lesions spread from the gums to the periodontal ligament, alveolar bone and cementum of the deep periodont...

AI Technical Summary

Problems solved by technology

[0003] The traditional method of detecting dental caries is to identify the boundaries of lesion tissue through the doctor's clinical examination and probing, but this method is very dependent on the doctor's experience, different doctors have different subjective evaluation criteria, even if the same doctor's diagnosis There will be differences due to the influence of different environments and equipment. The existing foreign caries and plaque detection equipment uses the fluorescence effect of teeth, adopts quantitative light-induced fluorescence technology (quantitative light-induced fluorescence, QLF), and uses a special camera to receive reflected light. Fluorescence loss was obtained by reconstructing the fluorescence of healthy enamel. The percent difference between the actual and reconstructed surfaces was calculated to determine the decrease in fluorescence. Any area with a decrease in fluorescence of more than 5% was considered a lesion. Existing caries and teeth Plaque detection equipment is not only expensive, but also has no intelligent diagnostic output, it can only be used as an auxiliary device, and manual intervention is required to make an effective diagnosis

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