Study on the effectiveness of artificial intelligence image recognition technology to screen dental caries on intraoral photographs
GUO Jing
ZHANG Ruiwen
ZHANG Dongjie
YU Kuai
GUO Xiaohe
FENG Yuan
YAO Cui'e
XUAN Kun
Abstract:Objective To evaluate the effectiveness of intraoral photographs collected by smartphone(Sp)and digital single-lens reflex(DSLR)for dental caries screening based on artificial intelligence(AI)image recognition technology.Methods The"YiShengYa kid"AI caries screening cloud platform was constructed.The AI image recognition deep learning algorithm was used to iteratively learn the methods of dental clinicians to screen dental caries,and the confusion matrix was used to verify the recognition effect.Two devices,Sp and DSLR,were used to collect intraoral photographs of 27 subjects at the same time.According to the collection criteria,Sp and DSLR acquired 3 and 5 photos of different tooth positions for each subject,respectively.The two groups of photos were uploaded to the dental caries screening cloud platform to obtain 359 and 480 dental caries screening results.The same subjects were screened for dental caries by dentists with clinical experience using WHO dental caries classification criteria.Sensitivity,specificity and area under the curve(AUC)were used to evaluate the effect of AI dental caries image recognition.Results The results of the confusion matrix showed that the accuracy of identifying low risk early caries and high risk caries with cavities was more than 90%,while the accuracy of identifying moderate risk caries with mild enamel defect was only 32%.Comparing the diagnostic results of dentists under the WHO criteria with AI screening results for caries,Sp images had an AUC value of 0.849 with a sensitivity of 75.6%and specificity of 85.8%.DSLR images had an AUC value of 0.859 with a sensitivity of 80.0%and specificity of 86.2%in diagnosing dental caries.Conclusion AI image recognition technology to screen dental caries is close to the caries diagnosis results of clinicians.Sp is more convenient and efficient to take caries photos,and the screening accuracy is close to that of the DSLR,which has higher practical application value.
Keywords:caries screeningartificial intelligence image recognitionintraoral photographdigital single-lens reflexsmartphone
Publication Date:2024-10-28
Online Publishing Date:2026-08-26(First online date of this platform, not the publication date of the document)
Pages:7( 1140-1146 )
Journal of Air Force Medical University

Journal of Air Force Medical University

AMI
ISSN:2097-1656
Year, Vol.(Issue):2024,45(10)