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Charting a new course in healthcare: early-stage AI algorithm registration to enhance trust and transparency

M. V. van Genderen,Davy van de Sande,9 Authors,Jeroen van den Hoven

2024 · DOI: 10.1038/s41746-024-01104-w
npj Digital Medicine · 10 Citations

TLDR

The creation of a detailed registry for AI algorithms would document the development, training, and validation of AI models, ensuring scientific integrity and transparency, and serve as a platform for peer review and ethical oversight.

Abstract

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.