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Charting a new course in healthcare: early-stage AI algorithm registration to enhance trust and transparency
npj Digital Medicine ( IF 15.2 ) Pub Date : 2024-05-08 , DOI: 10.1038/s41746-024-01104-w
Michel E. van Genderen , Davy van de Sande , Lotty Hooft , Andreas Alois Reis , Alexander D. Cornet , Jacobien H. F. Oosterhoff , Björn J. P. van der Ster , Joost Huiskens , Reggie Townsend , Jasper van Bommel , Diederik Gommers , Jeroen van den Hoven

AI holds the potential to transform healthcare, promising improvements in patient care. Yet, realizing this potential is hampered by over-reliance on limited datasets and a lack of transparency in validation processes. To overcome these obstacles, we advocate the creation of a detailed registry for AI algorithms. This registry would document the development, training, and validation of AI models, ensuring scientific integrity and transparency. Additionally, it would serve as a platform for peer review and ethical oversight. By bridging the gap between scientific validation and regulatory approval, such as by the FDA, we aim to enhance the integrity and trustworthiness of AI applications in healthcare.

中文翻译:

制定医疗保健新路线:早期人工智能算法注册以增强信任和透明度

人工智能具有改变医疗保健的潜力,有望改善患者护理。然而,过度依赖有限的数据集和验证过程缺乏透明度阻碍了这一潜力的实现。为了克服这些障碍,我们主张为人工智能算法创建详细的注册表。该注册表将记录人工智能模型的开发、培训和验证,确保科学的完整性和透明度。此外,它将作为同行评审和道德监督的平台。通过弥合科学验证与 FDA 等监管机构批准之间的差距,我们的目标是提高医疗保健领域人工智能应用的完整性和可信度。
更新日期:2024-05-08
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