Elements of a Good Radiology Artificial Intelligence Paper-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Elements of a Good Radiology Artificial Intelligence Paper

Published:2022-05-10 Issue:2 Volume:74 Page:231-233
ISSN:0846-5371
Container-title:Canadian Association of Radiologists Journal
language:en
Short-container-title:Can Assoc Radiol J

Author:

Gong Bo¹^ORCID,Soyer Philippe²^ORCID,McInnes Matthew D. F.³^ORCID,Patlas Michael N.⁴^ORCID

Affiliation:

1. Department of Radiology, University of British Columbia, Vancouver, BC, Canada

2. Department of Body and Interventional Imaging, Hôpital Cochin, France & Univerité Paris Centre, Paris, France

3. University of Ottawa Department of Radiology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada

4. Department of Radiology, McMaster University, Hamilton ON, Canada

Publisher

SAGE Publications

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

http://journals.sagepub.com/doi/pdf/10.1177/08465371221101195

Reference10 articles.

1. A primer for understanding radiology articles about machine learning and deep learning

2. Artificial intelligence: from challenges to clinical implementation

3. STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration

4. Canadian Radiology in the Age of Artificial Intelligence: A Golden Opportunity

5. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The AI “Grid”: A French national initiative as a product of radiology and industry collaboration;Diagnostic and Interventional Imaging;2024-02

2. Current applications of algorithmic artificial intelligence in interventional radiology: A review of the literature;Journal of Medical Imaging and Radiation Oncology;2023-12-13

3. Automatic deep learning-based assessment of spinopelvic coronal and sagittal alignment;Diagnostic and Interventional Imaging;2023-07

4. Artificial intelligence in diagnostic and interventional radiology: Where are we now?;Diagnostic and Interventional Imaging;2023-01

5. Artificial intelligence: A critical review of applications for lung nodule and lung cancer;Diagnostic and Interventional Imaging;2023-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3