DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence

被引：0

作者：

机构：

[1] University of Oxford,Nuffield Department of Surgical Sciences

[2] University of Oxford,Institute of Biomedical Engineering, Department of Engineering Science

[3] University of Oxford,Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences

[4] John Radcliffe Hospital,NIHR Oxford Biomedical Research Centre

[5] University Hospitals Birmingham NHS Foundation Trust,Eye Clinic

[6] Cantonal Hospital Lucerne,Critical Care Research Group, Nuffield Department of Clinical Neurosciences

[7] Moorfields Eye Hospital NHS Foundation Trust,undefined

[8] Healthplus.ai B.V.,undefined

[9] Morgan Human Systems,undefined

[10] University of Oxford,undefined

来源：

Nature Medicine | 2021年 / 27卷

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摘要：

As an increasing number of clinical decision-support systems driven by artificial intelligence progress from development to implementation, better guidance on the reporting of human factors and early-stage clinical evaluation is needed.

引用

页码：186 / 187

页数：1

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