Charting a new course in healthcare
early-stage AI algorithm registration to enhance trust and transparency
M. E. Van Genderen (Erasmus MC)
Davy Van De Sande (Erasmus MC)
Lotty Hooft (University Medical Center Utrecht)
Andreas Alois Reis (United Nations House)
Alexander D. Cornet (Medisch Spectrum Twente)
J.H.F. Oosterhoff (TU Delft - Information and Communication Technology)
Björn J.P. van der Ster (Erasmus MC)
D.A.M.P.J. Gommers (Erasmus MC)
M.J. van den Hoven (TU Delft - Ethics & Philosophy of Technology)
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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.
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