{"title":"人工智能在胸部放射学中的应用:人工智能在胸部放射学中的应用:叙述性综述(人工智能在胸部放射学中的应用)。","authors":"Woo Hyeon Lim, Hyungjin Kim","doi":"10.4046/trd.2024.0062","DOIUrl":null,"url":null,"abstract":"<p><p>Thoracic radiology is a primary field where artificial intelligence (AI) has been extensively researched. Recent advancements in AI demonstrate potential improvements in radiologists' performance. AI facilitates the detection and classification of abnormalities, as well as the quantification of both normal and abnormal anatomical structures. Furthermore, it enables prognostication based on these quantitative values. In this review article, the recent achievements of AI in thoracic radiology will be reviewed, mainly focused on deep learning, and the current limitations and future directions of this cutting-edge technique will be discussed.</p>","PeriodicalId":23368,"journal":{"name":"Tuberculosis and Respiratory Diseases","volume":" ","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of artificial intelligence in thoracic radiology: A narrative review (Application of AI in thoracic radiology).\",\"authors\":\"Woo Hyeon Lim, Hyungjin Kim\",\"doi\":\"10.4046/trd.2024.0062\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Thoracic radiology is a primary field where artificial intelligence (AI) has been extensively researched. Recent advancements in AI demonstrate potential improvements in radiologists' performance. AI facilitates the detection and classification of abnormalities, as well as the quantification of both normal and abnormal anatomical structures. Furthermore, it enables prognostication based on these quantitative values. In this review article, the recent achievements of AI in thoracic radiology will be reviewed, mainly focused on deep learning, and the current limitations and future directions of this cutting-edge technique will be discussed.</p>\",\"PeriodicalId\":23368,\"journal\":{\"name\":\"Tuberculosis and Respiratory Diseases\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tuberculosis and Respiratory Diseases\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4046/trd.2024.0062\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"RESPIRATORY SYSTEM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tuberculosis and Respiratory Diseases","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4046/trd.2024.0062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"RESPIRATORY SYSTEM","Score":null,"Total":0}
Application of artificial intelligence in thoracic radiology: A narrative review (Application of AI in thoracic radiology).
Thoracic radiology is a primary field where artificial intelligence (AI) has been extensively researched. Recent advancements in AI demonstrate potential improvements in radiologists' performance. AI facilitates the detection and classification of abnormalities, as well as the quantification of both normal and abnormal anatomical structures. Furthermore, it enables prognostication based on these quantitative values. In this review article, the recent achievements of AI in thoracic radiology will be reviewed, mainly focused on deep learning, and the current limitations and future directions of this cutting-edge technique will be discussed.