Accuracy of artificial intelligence for the detection of intracranial hemorrhage and chronic cerebral microbleeds: a systematic review and pooled analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11547-022-01530-4.pdf
Reference74 articles.
1. Arbabshirani MR, Fornwalt BK, Mongelluzzo GJ, Suever JD, Geise BD, Patel AA, Moore GJ (2018) Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration. NPJ Digit Med 4(1):9. https://doi.org/10.1038/s41746-017-0015-z (PMID: 31304294; PMCID: PMC6550144)
2. Chilamkurthy S, Ghosh R, Tanamala S, Biviji M, Campeau NG, Venugopal VK, Mahajan V, Rao P, Warier P (2018) Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study. Lancet 392(10162):2388–2396. https://doi.org/10.1016/S0140-6736(18)31645-3 (Epub 2018 Oct 11 PMID: 30318264)
3. Dawud AM, Yurtkan K, Oztoprak H (2019) Application of deep learning in neuroradiology: brain haemorrhage classification using transfer learning. Comput Intell Neurosci 3(2019):4629859. https://doi.org/10.1155/2019/4629859 (Erratum in: Comput Intell Neurosci. 2020 Aug 28; 2020: 4705838. PMID: 31281335; PMCID: PMC6589279)
4. Park SH, Han K (2018) Methodologic guide for evaluating clinical performance and effect of artificial intelligence technology for medical diagnosis and prediction. Radiology 286(3):800–809. https://doi.org/10.1148/radiol.2017171920
5. Kaka H, Zhang E, Khan N (2020) Artificial intelligence and deep learning in neuroradiology: exploring the new frontier. Can Assoc Radiol J. https://doi.org/10.1177/0846537120954293 (Epub ahead of print. PMID: 32946272)
Cited by 31 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. Deep Learning to Detect Intracranial Hemorrhage in a National Teleradiology Program and the Impact on Interpretation Time;Radiology: Artificial Intelligence;2024-09-01
2. Revolutionizing Intracranial Hemorrhage Diagnosis: A Retrospective Analytical Study of Viz.ai ICH for Enhanced Diagnostic Accuracy;Cureus;2024-08-08
3. A comprehensive review and experimental comparison of deep learning methods for automated hemorrhage detection;Engineering Applications of Artificial Intelligence;2024-07
4. Do Deep Learning Algorithms Accurately Segment Intracerebral Hemorrhages on Noncontrast Computed Tomography? A Systematic Review and Meta‐Analysis;Stroke: Vascular and Interventional Neurology;2024-07
5. Radiomics and Deep Features: Robust Classification of Brain Hemorrhages and Reproducibility Analysis Using a 3D Autoencoder Neural Network;Bioengineering;2024-06-24
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