{"title":"Decoding Deep Learning applications for diagnosis and treatment planning.","authors":"Jean-Marc Retrouvey, Richard Scott Conley","doi":"10.1590/2177-6709.27.5.e22spe5","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Artificial Intelligence (AI), Machine Learning and Deep Learning are playing an increasingly significant role in the medical field in the 21st century. These recent technologies are based on the concept of creating machines that have the potential to function as a human brain. It necessitates the gathering of large quantity of data to be processed. Once processed with AI machines, these data have the potential to streamline and improve the capabilities of the medical field in diagnosis and treatment planning, as well as in the prediction and recognition of diseases. These concepts are new to Orthodontics and are currently limited to image processing and pattern recognition.</p><p><strong>Objective: </strong>This article exposes and describes the different methods by which orthodontics may benefit from a more widespread adoption of these technologies.</p>","PeriodicalId":38720,"journal":{"name":"Dental Press Journal of Orthodontics","volume":"27 5","pages":"e22spe5"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829109/pdf/","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Dental Press Journal of Orthodontics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1590/2177-6709.27.5.e22spe5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 3
Abstract
Introduction: Artificial Intelligence (AI), Machine Learning and Deep Learning are playing an increasingly significant role in the medical field in the 21st century. These recent technologies are based on the concept of creating machines that have the potential to function as a human brain. It necessitates the gathering of large quantity of data to be processed. Once processed with AI machines, these data have the potential to streamline and improve the capabilities of the medical field in diagnosis and treatment planning, as well as in the prediction and recognition of diseases. These concepts are new to Orthodontics and are currently limited to image processing and pattern recognition.
Objective: This article exposes and describes the different methods by which orthodontics may benefit from a more widespread adoption of these technologies.
期刊介绍：
The Dental Press Journal of Orthodontics publishes scientific research articles, significant reviews, clinical and technical case reports, brief communications, and other materials related to Orthodontics and Facial Orthopedics.
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