{"title":"牙科诊断成像中的深度学习和人工智能。","authors":"Akitoshi Katsumata","doi":"10.1016/j.jdsr.2023.09.004","DOIUrl":null,"url":null,"abstract":"<div><p>The application of artificial intelligence (AI) based on deep learning in dental diagnostic imaging is increasing. Several popular deep learning tasks have been applied to dental diagnostic images.</p><p>Classification tasks are used to classify images with and without positive abnormal findings or to evaluate the progress of a lesion based on imaging findings. Region (object) detection and segmentation tasks have been used for tooth identification in panoramic radiographs. This technique is useful for automatically creating a patient's dental chart. Deep learning methods can also be used for detecting and evaluating anatomical structures of interest from images. Furthermore, generative AI based on natural language processing can automatically create written reports from the findings of diagnostic imaging.</p></div>","PeriodicalId":51334,"journal":{"name":"Japanese Dental Science Review","volume":"59 ","pages":"Pages 329-333"},"PeriodicalIF":5.7000,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551806/pdf/","citationCount":"1","resultStr":"{\"title\":\"Deep learning and artificial intelligence in dental diagnostic imaging\",\"authors\":\"Akitoshi Katsumata\",\"doi\":\"10.1016/j.jdsr.2023.09.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The application of artificial intelligence (AI) based on deep learning in dental diagnostic imaging is increasing. Several popular deep learning tasks have been applied to dental diagnostic images.</p><p>Classification tasks are used to classify images with and without positive abnormal findings or to evaluate the progress of a lesion based on imaging findings. Region (object) detection and segmentation tasks have been used for tooth identification in panoramic radiographs. This technique is useful for automatically creating a patient's dental chart. Deep learning methods can also be used for detecting and evaluating anatomical structures of interest from images. Furthermore, generative AI based on natural language processing can automatically create written reports from the findings of diagnostic imaging.</p></div>\",\"PeriodicalId\":51334,\"journal\":{\"name\":\"Japanese Dental Science Review\",\"volume\":\"59 \",\"pages\":\"Pages 329-333\"},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2023-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551806/pdf/\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Japanese Dental Science Review\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1882761623000285\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"DENTISTRY, ORAL SURGERY & MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Japanese Dental Science Review","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1882761623000285","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
Deep learning and artificial intelligence in dental diagnostic imaging
The application of artificial intelligence (AI) based on deep learning in dental diagnostic imaging is increasing. Several popular deep learning tasks have been applied to dental diagnostic images.
Classification tasks are used to classify images with and without positive abnormal findings or to evaluate the progress of a lesion based on imaging findings. Region (object) detection and segmentation tasks have been used for tooth identification in panoramic radiographs. This technique is useful for automatically creating a patient's dental chart. Deep learning methods can also be used for detecting and evaluating anatomical structures of interest from images. Furthermore, generative AI based on natural language processing can automatically create written reports from the findings of diagnostic imaging.
期刊介绍:
The Japanese Dental Science Review is published by the Japanese Association for Dental Science aiming to introduce the modern aspects of the dental basic and clinical sciences in Japan, and to share and discuss the update information with foreign researchers and dentists for further development of dentistry. In principle, papers are written and submitted on the invitation of one of the Editors, although the Editors would be glad to receive suggestions. Proposals for review articles should be sent by the authors to one of the Editors by e-mail. All submitted papers are subject to the peer- refereeing process.