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

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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.
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页码：186 / 187
页数：1
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