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AI in radiology: is it the time for randomized controlled trials?

作者信息

Gorenstein Larisa, Soffer Shelly, Apter Sara, Konen Eli, Klang Eyal

机构信息

Department of Diagnostic Imaging, Sheba Medical Center, 2 Sheba Rd, 52621, Ramat Gan, Israel.

Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel.

出版信息

Eur Radiol. 2023 Jun;33(6):4223-4225. doi: 10.1007/s00330-022-09381-3. Epub 2023 Jan 4.

DOI:10.1007/s00330-022-09381-3
PMID:36597003
Abstract
摘要

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本文引用的文献

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Randomized Clinical Trials of Machine Learning Interventions in Health Care: A Systematic Review.机器学习干预在医疗保健中的随机临床试验:系统评价。
JAMA Netw Open. 2022 Sep 1;5(9):e2233946. doi: 10.1001/jamanetworkopen.2022.33946.
2
Are Artificial Intelligence Challenges Becoming Radiology's New "Bee's Knees"?人工智能挑战正成为放射学新的“宠儿”?
Radiol Artif Intell. 2021 Apr 21;3(3):e210056. doi: 10.1148/ryai.2021210056. eCollection 2021 May.
3
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis.
人工智能在肌肉骨骼成像中的应用:未来十年的现实临床应用。
Skeletal Radiol. 2024 Sep;53(9):1849-1868. doi: 10.1007/s00256-024-04684-6. Epub 2024 Jun 20.
深度学习在医学影像疾病检测方面的性能与医疗保健专业人员的比较:系统评价和荟萃分析。
Lancet Digit Health. 2019 Oct;1(6):e271-e297. doi: 10.1016/S2589-7500(19)30123-2. Epub 2019 Sep 25.
4
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension.临床试验报告报告指南涉及人工智能的干预措施:CONSORT-AI 扩展。
Nat Med. 2020 Sep;26(9):1364-1374. doi: 10.1038/s41591-020-1034-x. Epub 2020 Sep 9.
5
Continuous Learning AI in Radiology: Implementation Principles and Early Applications.放射学中的持续学习 AI:实施原则和早期应用。
Radiology. 2020 Oct;297(1):6-14. doi: 10.1148/radiol.2020200038. Epub 2020 Aug 25.
6
The Emergence of the Randomized, Controlled Trial.随机对照试验的出现
N Engl J Med. 2016 Aug 11;375(6):501-4. doi: 10.1056/NEJMp1604635.
7
Randomized controlled trials.随机对照试验。
AJR Am J Roentgenol. 2004 Dec;183(6):1539-44. doi: 10.2214/ajr.183.6.01831539.