放射学中的人工智能：是时候进行随机对照试验了吗？ - Suppr

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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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Randomized Clinical Trials of Machine Learning Interventions in Health Care: A Systematic Review.

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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

相似文献

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

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

Assessment of the Willingness of Radiologists and Radiographers to Accept the Integration of Artificial Intelligence Into Radiology Practice.

Acad Radiol. 2022 Jan;29(1):87-94. doi: 10.1016/j.acra.2020.09.014. Epub 2020 Oct 29.

Noninterpretive Uses of Artificial Intelligence in Radiology.

Acad Radiol. 2021 Sep;28(9):1225-1235. doi: 10.1016/j.acra.2020.01.012. Epub 2020 Feb 12.

Review of Artificial Intelligence Training Tools and Courses for Radiologists.

Acad Radiol. 2021 Sep;28(9):1238-1252. doi: 10.1016/j.acra.2020.12.026. Epub 2021 Mar 11.

Social media's role in the perception of radiologists and artificial intelligence.

Clin Imaging. 2020 Dec;68:158-160. doi: 10.1016/j.clinimag.2020.06.003. Epub 2020 Jun 15.

Artificial intelligence in emergency radiology: A review of applications and possibilities.

Diagn Interv Imaging. 2023 Jan;104(1):6-10. doi: 10.1016/j.diii.2022.07.005. Epub 2022 Aug 4.

Workflow Applications of Artificial Intelligence in Radiology and an Overview of Available Tools.

J Am Coll Radiol. 2020 Nov;17(11):1363-1370. doi: 10.1016/j.jacr.2020.08.016.

Artificial Intelligence and the Trainee Experience in Radiology.

J Am Coll Radiol. 2020 Nov;17(11):1388-1393. doi: 10.1016/j.jacr.2020.09.028. Epub 2020 Oct 1.

DECIDE-AI: a new reporting guideline and its relevance to artificial intelligence studies in radiology.

Clin Radiol. 2023 Feb;78(2):130-136. doi: 10.1016/j.crad.2022.09.131.

Understanding artificial intelligence based radiology studies: CNN architecture.

Clin Imaging. 2021 Dec;80:72-76. doi: 10.1016/j.clinimag.2021.06.033. Epub 2021 Jul 7.

引用本文的文献

The Effectiveness of Deep Learning in the Differential Diagnosis of Hemorrhagic Transformation and Contrast Accumulation After Endovascular Thrombectomy in Acute Ischemic Stroke Patients.

Diagnostics (Basel). 2025 Apr 24;15(9):1080. doi: 10.3390/diagnostics15091080.

Generalizability, robustness, and correction bias of segmentations of thoracic organs at risk in CT images.

Eur Radiol. 2024 Dec 31. doi: 10.1007/s00330-024-11321-2.

Artificial intelligence in musculoskeletal imaging: realistic clinical applications in the next decade.

Skeletal Radiol. 2024 Sep;53(9):1849-1868. doi: 10.1007/s00256-024-04684-6. Epub 2024 Jun 20.

本文引用的文献

Randomized Clinical Trials of Machine Learning Interventions in Health Care: A Systematic Review.

JAMA Netw Open. 2022 Sep 1;5(9):e2233946. doi: 10.1001/jamanetworkopen.2022.33946.

Are Artificial Intelligence Challenges Becoming Radiology's New "Bee's Knees"?

Radiol Artif Intell. 2021 Apr 21;3(3):e210056. doi: 10.1148/ryai.2021210056. eCollection 2021 May.

A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis.

Lancet Digit Health. 2019 Oct;1(6):e271-e297. doi: 10.1016/S2589-7500(19)30123-2. Epub 2019 Sep 25.

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension.

Nat Med. 2020 Sep;26(9):1364-1374. doi: 10.1038/s41591-020-1034-x. Epub 2020 Sep 9.

Continuous Learning AI in Radiology: Implementation Principles and Early Applications.

Radiology. 2020 Oct;297(1):6-14. doi: 10.1148/radiol.2020200038. Epub 2020 Aug 25.

The Emergence of the Randomized, Controlled Trial.

N Engl J Med. 2016 Aug 11;375(6):501-4. doi: 10.1056/NEJMp1604635.

Randomized controlled trials.

AJR Am J Roentgenol. 2004 Dec;183(6):1539-44. doi: 10.2214/ajr.183.6.01831539.