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. 2024 May 8;7(1):119.
doi: 10.1038/s41746-024-01104-w.

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

Michel E van Genderen  1 , Davy van de Sande  2 , Lotty Hooft  3 , Andreas Alois Reis  4 , Alexander D Cornet  5   6 , Jacobien H F Oosterhoff  7 , Björn J P van der Ster  2 , Joost Huiskens  8 , Reggie Townsend  9   10 , Jasper van Bommel  2 , Diederik Gommers  2 , Jeroen van den Hoven  7
Affiliations

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

Michel E van Genderen et al. NPJ Digit Med. .

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.

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Conflict of interest statement

D.G. has received speakers fees and travel expenses from Dräger, GE Healthcare (medical advisory board 2009–12), Maquet, and Novalung (medical advisory board 2015–18). All other authors declare no competing interests.

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References

    1. van de Sande D, van Genderen ME, Huiskens J, Gommers D, van Bommel J. Moving from bytes to bedside: a systematic review on the use of artificial intelligence in the intensive care unit. Intensive Care Med. 2021;47:750–760. doi: 10.1007/s00134-021-06446-7. - DOI - PMC - PubMed
    1. Medicine, U.N.L.o. National Library of Medicine(U.S.). Clinicaltrials.gov. (2024).
    1. FDA. Artificial Intelligence and Machine Learning (AI/ML)-Enabled Medical Devices (FDA, 2024). - PMC - PubMed
    1. Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat. Med. 2019;25:44–56. doi: 10.1038/s41591-018-0300-7. - DOI - PubMed
    1. De Angelis C, et al. Clinical trial registration: a statement from the International Committee of Medical Journal Editors. N. Engl. J. Med. 2004;351:1250–1251. doi: 10.1056/NEJMe048225. - DOI - PubMed