Abstract
The rapid development of information technology and data processing capabilities has led to the creation of new tools known as artificial intelligence (AI). Medical applications of AI are emerging, and the French radiology community felt it was therefore timely to issue a position paper on AI as part of its role as a leader in the development of digital projects. Essential information about the application of AI to radiology includes a description of the available algorithms with a glossary; a review of the issues raised by healthcare data, notably those pertaining to imaging (imaging data and co-variables, metadata); a look at research and innovation; an overview of current and future applications; a discussion of AI education; and a scrutiny of ethical issues. In addition to the principles set forth at the Asilomar Conference on Beneficial AI, the French radiology community has developed ten principles aimed at governing the use and development of AI tools in a manner that will create a concerted approach centered on benefits to patients, while also ensuring good integration within clinical workflows. High-quality care in radiology and opportunities for managing large datasets are two avenues relevant to the development of a precision, personalized, and participative radiology practice characterized by improved predictive and preventive capabilities.
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