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

被引：6

作者：

Vasey, B. ^{[1
,2
,7
]}

Novak, A. ^{[3
]}

Ather, S. ^{[4
,5
]}

Ibrahim, M. ^{[1
,6
]}

McCulloch, P. ^{[1
]}

机构：

[1] Univ Oxford, Nuffield Dept Surg Sci, Oxford, England

[2] Geneva Univ Hosp, Dept Surg, Geneva, Switzerland

[3] Oxford Univ Hosp NHS Fdn Trust, Emergency Med Res Oxford EMROx, Oxford, England

[4] Univ Oxford, Natl Consortium Intelligent Med Imaging, Oxford, England

[5] Oxford Univ Hosp NHS Fdn Trust, Oxford, England

[6] Maimonides Hosp, Dept Surg, Brooklyn, NY USA

[7] Univ Oxford, Nuffield Dept Surg Sci, Oxford OX3 9DU, England

来源：

CLINICAL RADIOLOGY | 2023年 / 78卷 / 02期

关键词：

EVALUATING COMPLEX INTERVENTIONS; FRAMEWORK; TOOL;

D O I：

10.1016/j.crad.2022.09.131

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

DECIDE-AI is a new, stage-specific reporting guideline for the early and live clinical evaluation of decision-support systems based on artificial intelligence (AI). It answers a need for more attention to the human factors influencing clinical AI performance and more transparent reporting of clinical studies investigating AI systems. Given the rapid expansion of AI systems and the concentration of related studies in radiology, these new standards are likely to find a place in radiological literature in the near future. This review highlights some of the speci-ficities of AI as complex intervention, why a new reporting guideline was needed for early stage, live evaluation of this technology, and how DECIDE-AI and other AI reporting guidelines can be useful to radiologists and researchers. (c) 2022 The Authors. Published by Elsevier Ltd on behalf of The Royal College of Radiologists. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/ 4.0/).

引用

页码：130 / 136

页数：7

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