Department of General Practice & Nursing Science, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Department of Cardiology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands.
Eur Heart J. 2023 Dec 7;44(46):4831-4834. doi: 10.1093/eurheartj/ehad727.
To raise the quality of clinical artificial intelligence (AI) prediction modelling studies in the cardiovascular health domain and thereby improve their impact and relevancy, the editors for digital health, innovation, and quality standards of the European Heart Journal propose five minimal quality criteria for AI-based prediction model development and validation studies: complete reporting, carefully defined intended use of the model, rigorous validation, large enough sample size, and openness of code and software.
为提高心血管健康领域临床人工智能 (AI) 预测模型研究的质量，从而提高其影响力和相关性，《欧洲心脏杂志》数字健康、创新和质量标准编辑提出了五项基于 AI 的预测模型开发和验证研究的最低质量标准：完整报告、仔细定义模型的预期用途、严格验证、足够大的样本量以及代码和软件的开放性。
