{"title":"Artificial intelligence in dentistry — A scoping review","authors":"Ruchi Vashisht , Aaina Sharma , Tanvi Kiran , Satnam Singh Jolly , Prabhleen Kaur Brar , Jay Veer Puri","doi":"10.1016/j.ajoms.2024.04.009","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><p>In dentistry, AI technologies are revolutionizing diagnosis, treatment planning, and patient care. From image analysis for detecting cavities and fractures to personalized treatment recommendations based on patient data, AI is enhancing efficiency and accuracy in dental practices, leading to improved outcomes and patient satisfaction.</p></div><div><h3>Objectives</h3><p>This scoping review was done to assess the use of artificial intelligence in various fields of dentistry.</p></div><div><h3>Methods</h3><p>The electronic databases were searched for scientific research articles in electronic search engines like PubMed, Scopus, Web of science etc. and 87 articles fulfilled the eligibility criteria. Various artificial intelligence, machine learning and deep learning tools and techniques used in various fields of dentistry were studied and their accuracy and precision were noted.</p></div><div><h3>Results</h3><p>We have various artificial intelligence models being used in various fields of dentistry with high accuracy, sensitivity and specificity.</p></div><div><h3>Conclusion</h3><p>This data would be helpful for dental practitioners in reducing their workload and improve precision and accuracy in various treatments.</p></div>","PeriodicalId":45034,"journal":{"name":"Journal of Oral and Maxillofacial Surgery Medicine and Pathology","volume":"36 4","pages":"Pages 579-592"},"PeriodicalIF":0.4000,"publicationDate":"2024-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Oral and Maxillofacial Surgery Medicine and Pathology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212555824000632","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction
In dentistry, AI technologies are revolutionizing diagnosis, treatment planning, and patient care. From image analysis for detecting cavities and fractures to personalized treatment recommendations based on patient data, AI is enhancing efficiency and accuracy in dental practices, leading to improved outcomes and patient satisfaction.
Objectives
This scoping review was done to assess the use of artificial intelligence in various fields of dentistry.
Methods
The electronic databases were searched for scientific research articles in electronic search engines like PubMed, Scopus, Web of science etc. and 87 articles fulfilled the eligibility criteria. Various artificial intelligence, machine learning and deep learning tools and techniques used in various fields of dentistry were studied and their accuracy and precision were noted.
Results
We have various artificial intelligence models being used in various fields of dentistry with high accuracy, sensitivity and specificity.
Conclusion
This data would be helpful for dental practitioners in reducing their workload and improve precision and accuracy in various treatments.
导言在牙科领域,人工智能技术正在彻底改变诊断、治疗计划和患者护理。从检测龋齿和骨折的图像分析到基于患者数据的个性化治疗建议,人工智能正在提高牙科临床实践的效率和准确性,从而改善治疗效果,提高患者满意度。方法在电子数据库中搜索PubMed、Scopus、Web of science等电子搜索引擎中的科学研究文章,共有87篇文章符合资格标准。研究了牙科各领域使用的各种人工智能、机器学习和深度学习工具和技术,并记录了它们的准确性和精确性。结果我们发现牙科各领域使用的各种人工智能模型具有很高的准确性、灵敏度和特异性。