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- Title
Charting a new course in healthcare: early-stage AI algorithm registration to enhance trust and transparency.
- Authors
van Genderen, Michel E.; van de Sande, Davy; Hooft, Lotty; Reis, Andreas Alois; Cornet, Alexander D.; Oosterhoff, Jacobien H. F.; van der Ster, Björn J. P.; Huiskens, Joost; Townsend, Reggie; van Bommel, Jasper; Gommers, Diederik; van den Hoven, Jeroen
- 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.
- Subjects
COMPUTER-aided design; ARTIFICIAL intelligence; DECISION making in clinical medicine; RECORDING &; registration; TRUST; HEALTH care industry; DATA quality; WELL-being
- Publication
NPJ Digital Medicine, 2024, Vol 7, Issue 1, p1
- ISSN
2398-6352
- Publication type
Article
- DOI
10.1038/s41746-024-01104-w