Charting a new course in healthcare: early-stage AI algorithm registration to enhance trust and transparency
Publication date
2024-05-08
Authors
van Genderen, Michel E.
van de Sande, Davy
Hooft, L.
Reis, Andreas Alois
Cornet, Alexander D.
Oosterhoff, Jacobien H.F.
van der Ster, Björn J.P.
Huiskens, Joost
Townsend, Reggie
van Bommel, Jasper
Editors
Advisors
Supervisors
Document Type
Comment
Metadata
Show full item recordCollections
License
cc_by
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.
Keywords
Medicine (miscellaneous), Health Informatics, Computer Science Applications, Health Information Management
Citation
van Genderen, M E, van de Sande, D, Hooft, L, Reis, A A, Cornet, A D, Oosterhoff, J H F, van der Ster, B J P, Huiskens, J, Townsend, R, van Bommel, J, Gommers, D & van den Hoven, J 2024, 'Charting a new course in healthcare : early-stage AI algorithm registration to enhance trust and transparency', npj digital medicine, vol. 7, no. 1, 119. https://doi.org/10.1038/s41746-024-01104-w