{"title":"[Artificial intelligence empowers prosthodontics: opportunities and challenges of technological integration and disciplinary innovation].","authors":"X Q Jiang","doi":"10.3760/cma.j.cn112144-20260324-00188","DOIUrl":null,"url":null,"abstract":"<p><p>The rapid development of artificial intelligence (AI) technology has injected new impetus into the digital transformation and high-quality development of prosthodontics. Its integration with core technologies such as deep learning, image recognition, and big data analytics has permeated the entire clinical chain of prosthodontics, including preoperative diagnosis and planning, intraoperative precise operation, and postoperative evaluation and follow-up. This has driven the discipline to transform from a traditional \"experience-driven\" model to a \"data-driven+precision\" model. This paper systematically reviews the clinical application scenarios and core innovative value of AI in the field of prosthodontics, deeply integrates international cutting-edge research results and domestic expert consensus, and analyzes the core bottlenecks faced in current technological development, clinical translation, ethical privacy, and other aspects. Combined with the industry development trend, targeted solutions and future prospects are proposed, aiming to provide academic references for the deep integration and standardized development of AI and prosthodontics, and promote the discipline to achieve the development goals of personalization, intelligence, and universalization.</p>","PeriodicalId":23965,"journal":{"name":"中华口腔医学杂志","volume":"61 7","pages":"923-928"},"PeriodicalIF":0.0000,"publicationDate":"2026-07-09","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.cn112144-20260324-00188","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
The rapid development of artificial intelligence (AI) technology has injected new impetus into the digital transformation and high-quality development of prosthodontics. Its integration with core technologies such as deep learning, image recognition, and big data analytics has permeated the entire clinical chain of prosthodontics, including preoperative diagnosis and planning, intraoperative precise operation, and postoperative evaluation and follow-up. This has driven the discipline to transform from a traditional "experience-driven" model to a "data-driven+precision" model. This paper systematically reviews the clinical application scenarios and core innovative value of AI in the field of prosthodontics, deeply integrates international cutting-edge research results and domestic expert consensus, and analyzes the core bottlenecks faced in current technological development, clinical translation, ethical privacy, and other aspects. Combined with the industry development trend, targeted solutions and future prospects are proposed, aiming to provide academic references for the deep integration and standardized development of AI and prosthodontics, and promote the discipline to achieve the development goals of personalization, intelligence, and universalization.
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.