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

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, Diederik Gommers, Jeroen van den Hoven, More Authors

*Corresponding author for this work

Research output: Contribution to journalComment/Letter to the editorScientificpeer-review

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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.

Original languageEnglish
Article number119
Number of pages4
Journalnpj Digital Medicine
Volume7
Issue number1
DOIs
Publication statusPublished - 2024

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