深度学习技术在骨折诊断中的应用与前景。

IF 2 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL Current Medical Science Pub Date : 2024-11-18 DOI:10.1007/s11596-024-2928-5
Jia-Yao Zhang, Jia-Ming Yang, Xin-Meng Wang, Hong-Lin Wang, Hong Zhou, Zi-Neng Yan, Yi Xie, Peng-Ran Liu, Zhi-Wei Hao, Zhe-Wei Ye
{"title":"深度学习技术在骨折诊断中的应用与前景。","authors":"Jia-Yao Zhang, Jia-Ming Yang, Xin-Meng Wang, Hong-Lin Wang, Hong Zhou, Zi-Neng Yan, Yi Xie, Peng-Ran Liu, Zhi-Wei Hao, Zhe-Wei Ye","doi":"10.1007/s11596-024-2928-5","DOIUrl":null,"url":null,"abstract":"<p><p>Artificial intelligence (AI) is an interdisciplinary field that combines computer technology, mathematics, and several other fields. Recently, with the rapid development of machine learning (ML) and deep learning (DL), significant progress has been made in the field of AI. As one of the fastest-growing branches, DL can effectively extract features from big data and optimize the performance of various tasks. Moreover, with advancements in digital imaging technology, DL has become a key tool for processing high-dimensional medical image data and conducting medical image analysis in clinical applications. With the development of this technology, the diagnosis of orthopedic diseases has undergone significant changes. In this review, we describe recent research progress on DL in fracture diagnosis and discuss the value of DL in this field, providing a reference for better integration and development of DL technology in orthopedics.</p>","PeriodicalId":10820,"journal":{"name":"Current Medical Science","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application and Prospects of Deep Learning Technology in Fracture Diagnosis.\",\"authors\":\"Jia-Yao Zhang, Jia-Ming Yang, Xin-Meng Wang, Hong-Lin Wang, Hong Zhou, Zi-Neng Yan, Yi Xie, Peng-Ran Liu, Zhi-Wei Hao, Zhe-Wei Ye\",\"doi\":\"10.1007/s11596-024-2928-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Artificial intelligence (AI) is an interdisciplinary field that combines computer technology, mathematics, and several other fields. Recently, with the rapid development of machine learning (ML) and deep learning (DL), significant progress has been made in the field of AI. As one of the fastest-growing branches, DL can effectively extract features from big data and optimize the performance of various tasks. Moreover, with advancements in digital imaging technology, DL has become a key tool for processing high-dimensional medical image data and conducting medical image analysis in clinical applications. With the development of this technology, the diagnosis of orthopedic diseases has undergone significant changes. In this review, we describe recent research progress on DL in fracture diagnosis and discuss the value of DL in this field, providing a reference for better integration and development of DL technology in orthopedics.</p>\",\"PeriodicalId\":10820,\"journal\":{\"name\":\"Current Medical Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Medical Science\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s11596-024-2928-5\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Medical Science","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11596-024-2928-5","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Application and Prospects of Deep Learning Technology in Fracture Diagnosis.

Artificial intelligence (AI) is an interdisciplinary field that combines computer technology, mathematics, and several other fields. Recently, with the rapid development of machine learning (ML) and deep learning (DL), significant progress has been made in the field of AI. As one of the fastest-growing branches, DL can effectively extract features from big data and optimize the performance of various tasks. Moreover, with advancements in digital imaging technology, DL has become a key tool for processing high-dimensional medical image data and conducting medical image analysis in clinical applications. With the development of this technology, the diagnosis of orthopedic diseases has undergone significant changes. In this review, we describe recent research progress on DL in fracture diagnosis and discuss the value of DL in this field, providing a reference for better integration and development of DL technology in orthopedics.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Current Medical Science
Current Medical Science Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
4.70
自引率
0.00%
发文量
126
期刊介绍: Current Medical Science provides a forum for peer-reviewed papers in the medical sciences, to promote academic exchange between Chinese researchers and doctors and their foreign counterparts. The journal covers the subjects of biomedicine such as physiology, biochemistry, molecular biology, pharmacology, pathology and pathophysiology, etc., and clinical research, such as surgery, internal medicine, obstetrics and gynecology, pediatrics and otorhinolaryngology etc. The articles appearing in Current Medical Science are mainly in English, with a very small number of its papers in German, to pay tribute to its German founder. This journal is the only medical periodical in Western languages sponsored by an educational institution located in the central part of China.
期刊最新文献
Application and Prospects of Deep Learning Technology in Fracture Diagnosis. Causal Link between Gut Microbiota and Infertility: A Two-sample Bidirectional Mendelian Randomization Study.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1