{"title":"[Research progress in the application of virtual artificial intelligence in risk assessment and diagnosis of periodontal disease].","authors":"W J Hong, C C Liu, Y Ding","doi":"10.3760/cma.j.cn112144-20240117-00027","DOIUrl":null,"url":null,"abstract":"<p><p>Periodontal disease is a common and frequently-occurring disease in China. Early detection, diagnosis, and treatment of periodontal disease are of great significance for achieving universal oral health and even systemic health. Artificial intelligence endows machines with the ability to mimic human intelligent behavior, and is commonly used in medical field with both physical and virtual forms. Virtual artificial intelligence empowers traditional experience in the application of periodontal disease risk assessment and diagnosis, with the potential to develop a variety of oral health screening tools. It helps to provide new evidence for the prognosis of periodontal disease, improve the accuracy and efficiency of diagnosis, reduce technical sensitivity and further promote the periodontal treatment transformation from \"treatment-oriented\" to \"prevention-oriented\". This paper reviews the current applications and progresses of virtual artificial intelligence in periodontal risk assessment and diagnosis, as well as its limitations, providing ideas for future researches on the application of virtual artificial intelligence in this field.</p>","PeriodicalId":23965,"journal":{"name":"中华口腔医学杂志","volume":"59 11","pages":"1155-1161"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中华口腔医学杂志","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3760/cma.j.cn112144-20240117-00027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Periodontal disease is a common and frequently-occurring disease in China. Early detection, diagnosis, and treatment of periodontal disease are of great significance for achieving universal oral health and even systemic health. Artificial intelligence endows machines with the ability to mimic human intelligent behavior, and is commonly used in medical field with both physical and virtual forms. Virtual artificial intelligence empowers traditional experience in the application of periodontal disease risk assessment and diagnosis, with the potential to develop a variety of oral health screening tools. It helps to provide new evidence for the prognosis of periodontal disease, improve the accuracy and efficiency of diagnosis, reduce technical sensitivity and further promote the periodontal treatment transformation from "treatment-oriented" to "prevention-oriented". This paper reviews the current applications and progresses of virtual artificial intelligence in periodontal risk assessment and diagnosis, as well as its limitations, providing ideas for future researches on the application of virtual artificial intelligence in this field.
期刊介绍:
Founded in August 1953, Chinese Journal of Stomatology is a monthly academic journal of stomatology published publicly at home and abroad, sponsored by the Chinese Medical Association and co-sponsored by the Chinese Stomatology Association. It mainly reports the leading scientific research results and clinical diagnosis and treatment experience in the field of oral medicine, as well as the basic theoretical research that has a guiding role in oral clinical practice and is closely combined with oral clinical practice.
Chinese Journal of Over the years, Stomatology has been published in Medline, Scopus database, Toxicology Abstracts Database, Chemical Abstracts Database, American Cancer database, Russian Abstracts database, China Core Journal of Science and Technology, Peking University Core Journal, CSCD and other more than 20 important journals at home and abroad Physical medicine database and retrieval system included.