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AI Reporting Guidelines: How to Select the Best One for Your Research.

作者信息

Klontzas Michail E, Gatti Anthony A, Tejani Ali S, Kahn Charles E

机构信息

From the Department of Medical Imaging, University Hospital of Heraklion, Heraklion, Crete, Greece (M.E.K.); Institute of Computer Science, Foundation for Research and Technology (FORTH), Heraklion, Crete, Greece (M.E.K.); Department of Radiology, University of Crete School of Medicine, Heraklion, Crete, Greece (M.E.K.); Department of Radiology, Stanford University, Stanford, Calif (A.A.G.); NeuralSeg Ltd, Hamilton, Canada (A.A.G.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (A.S.T.); and Department of Radiology and Institute for Biomedical Informatics, University of Pennsylvania, 3400 Spruce St, 1 Silverstein, Philadelphia, PA 19104-6243 (C.E.K.).

出版信息

Radiol Artif Intell. 2023 Apr 5;5(3):e230055. doi: 10.1148/ryai.230055. eCollection 2023 May.

DOI:10.1148/ryai.230055
PMID:37293341
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10245184/
Abstract
摘要

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本文引用的文献

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Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers.医学影像人工智能清单（CLAIM）：作者和审稿人指南
Radiol Artif Intell. 2020 Mar 25;2(2):e200029. doi: 10.1148/ryai.2020200029. eCollection 2020 Mar.
2
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.
3
Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist.临床人工智能建模的最低信息要求：MI-CLAIM清单
Nat Med. 2020 Sep;26(9):1320-1324. doi: 10.1038/s41591-020-1041-y.
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MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care.MINIMAR（医疗人工智能报告的最小信息）：制定医疗人工智能报告的标准。
J Am Med Inform Assoc. 2020 Dec 9;27(12):2011-2015. doi: 10.1093/jamia/ocaa088.
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PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies.PROBAST：一种用于评估偏倚风险和预测模型研究适用性的工具。
Ann Intern Med. 2019 Jan 1;170(1):51-58. doi: 10.7326/M18-1376.
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