{"title":"From the Editor","authors":"A. Cain","doi":"10.1353/jla.2021.0000","DOIUrl":null,"url":null,"abstract":"I HAVE ALWAYS been fascinated by artificial intelligence (AI) and how our lives benefit from this technology, such as in self-driving cars and smart voice assistants. I wanted to join a research project that demonstrates AI’s use in dental healthcare. My research project with Dr. Chun-Teh Lee and Dr. Ana Neumann is about developing an effective AI-assisted caries lesion identification tool. I annotated radiographs in order to train the AI program to recognize caries as a clinician would. The project leverages intraoral radiographic images stored in the UTSD axiUm MiPACs database. We hypothesize that an advanced computer vision algorithm backed by deep learning can provide an accurate diagnosis of caries comparable to trained humans. Experienced dentists, dental students, and clinical findings provide the baseline expectations the algorithm needs to meet. We can then calculate sensitivity, specificity, and other metrics to grade the AI’s performance. abstract section a research project about periodontics. Having developed for research, then project applicable day-to-day by altering the angulation of posterior teeth by tip-back activations of three to five degrees of each tooth. Vertical dimensions can also be controlled by wire bending the loops up or down and elastics are provided to complement the arch wire activation. preventing restoring nearly and function to dentition. Digital technology","PeriodicalId":16220,"journal":{"name":"Journal of Late Antiquity","volume":null,"pages":null},"PeriodicalIF":0.5000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1353/jla.2021.0000","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Late Antiquity","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1353/jla.2021.0000","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"HUMANITIES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
I HAVE ALWAYS been fascinated by artificial intelligence (AI) and how our lives benefit from this technology, such as in self-driving cars and smart voice assistants. I wanted to join a research project that demonstrates AI’s use in dental healthcare. My research project with Dr. Chun-Teh Lee and Dr. Ana Neumann is about developing an effective AI-assisted caries lesion identification tool. I annotated radiographs in order to train the AI program to recognize caries as a clinician would. The project leverages intraoral radiographic images stored in the UTSD axiUm MiPACs database. We hypothesize that an advanced computer vision algorithm backed by deep learning can provide an accurate diagnosis of caries comparable to trained humans. Experienced dentists, dental students, and clinical findings provide the baseline expectations the algorithm needs to meet. We can then calculate sensitivity, specificity, and other metrics to grade the AI’s performance. abstract section a research project about periodontics. Having developed for research, then project applicable day-to-day by altering the angulation of posterior teeth by tip-back activations of three to five degrees of each tooth. Vertical dimensions can also be controlled by wire bending the loops up or down and elastics are provided to complement the arch wire activation. preventing restoring nearly and function to dentition. Digital technology