{"title":"人工智能在肌肉骨骼领域的应用:放射科医生入门指南。","authors":"Michelle W Tong, Jiamin Zhou, Zehra Akkaya, Sharmila Majumdar, Rupsa Bhattacharjee","doi":"10.4274/dir.2024.242830","DOIUrl":null,"url":null,"abstract":"<p><p>As an umbrella term, artificial intelligence (AI) covers machine learning and deep learning. This review aimed to elaborate on these terms to act as a primer for radiologists to learn more about the algorithms commonly used in musculoskeletal radiology. It also aimed to familiarize them with the common practices and issues in the use of AI in this domain.</p>","PeriodicalId":11341,"journal":{"name":"Diagnostic and interventional radiology","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence in musculoskeletal applications: a primer for radiologists.\",\"authors\":\"Michelle W Tong, Jiamin Zhou, Zehra Akkaya, Sharmila Majumdar, Rupsa Bhattacharjee\",\"doi\":\"10.4274/dir.2024.242830\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>As an umbrella term, artificial intelligence (AI) covers machine learning and deep learning. This review aimed to elaborate on these terms to act as a primer for radiologists to learn more about the algorithms commonly used in musculoskeletal radiology. It also aimed to familiarize them with the common practices and issues in the use of AI in this domain.</p>\",\"PeriodicalId\":11341,\"journal\":{\"name\":\"Diagnostic and interventional radiology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2024-08-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Diagnostic and interventional radiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.4274/dir.2024.242830\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diagnostic and interventional radiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.4274/dir.2024.242830","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Artificial intelligence in musculoskeletal applications: a primer for radiologists.
As an umbrella term, artificial intelligence (AI) covers machine learning and deep learning. This review aimed to elaborate on these terms to act as a primer for radiologists to learn more about the algorithms commonly used in musculoskeletal radiology. It also aimed to familiarize them with the common practices and issues in the use of AI in this domain.
期刊介绍:
Diagnostic and Interventional Radiology (Diagn Interv Radiol) is the open access, online-only official publication of Turkish Society of Radiology. It is published bimonthly and the journal’s publication language is English.
The journal is a medium for original articles, reviews, pictorial essays, technical notes related to all fields of diagnostic and interventional radiology.