Current Clinical Applications of Artificial Intelligence in Radiology and Their Best Supporting Evidence-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Current Clinical Applications of Artificial Intelligence in Radiology and Their Best Supporting Evidence

Published:2020-11 Issue:11 Volume:17 Page:1371-1381
ISSN:1546-1440
Container-title:Journal of the American College of Radiology
language:en
Short-container-title:Journal of the American College of Radiology

Author:

Tariq Amara,Purkayastha Saptarshi,Padmanaban Geetha Priya,Krupinski Elizabeth,Trivedi Hari,Banerjee Imon,Gichoya Judy Wawira

Funder

Winship Cancer Institute

National Science Foundation

Publisher

Elsevier BV

Subject

Radiology Nuclear Medicine and imaging

Reference23 articles.

1. Global trend in artificial intelligence–based publications in radiology from 2000 to 2018;West;AJR Am J Roentgenol,2019

2. Design characteristics of studies reporting the performance of artificial intelligence algorithms for diagnostic analysis of medical images: results from recently published papers;Kim;Kor J Radiol,2019

3. Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: a cross-sectional study;Zech;PLoS Med,2018

4. Generalizable inter-institutional classification of abnormal chest radiographs using efficient convolutional neural networks;Pan;J Digit Imaging,2019

5. Dissecting racial bias in an algorithm used to manage the health of populations;Obermeyer;Science,2019

Cited by 39 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. United States newspaper and online media coverage of artificial intelligence and radiology from 1998 to 2023;Clinical Imaging;2024-09

2. "It depends": Configuring AI to Improve Clinical Usefulness Across Contexts;Designing Interactive Systems Conference;2024-07

3. Potential Therapeutic Improvements in Prostate Cancer Treatment Using Pencil Beam Scanning Proton Therapy with LETd Optimization and Disease-Specific RBE Models;Cancers;2024-02-14

4. Machine Learning in Neuroimaging of Traumatic Brain Injury: Current Landscape, Research Gaps, and Future Directions;Trauma Care;2024-01-29

5. Breathing Life Into Artificial Intelligence*;Critical Care Medicine;2024-01-19

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