Elliot K Fishman, Philippe Soyer, David B Hellmann, Linda C Chu
Clin Imaging . 2025 Apr 10:122:110481. doi: 10.1016/j.clinimag.2025.110481. Online ahead of print.
Artificial intelligence in radiology critically depends on vast amounts of quality data, and there are controversies surrounding the topic of data ownership. In the current clinical framework, the secondary use of clinical data should be treated as a form of public good to benefit future patients. In this article, we propose that the physicians' input in data curation and interpretation adds value to the data and is crucial for building clinically relevant artificial intelligence models.