Guiding AI in radiology: ESR’s recommendations for effective implementation of the European AI Act

This statement has been produced within the European Society of Radiology AI Working Group and identifies the key policies of the EU AI Act as they pertain to medical imaging. It offers specific recommendations to policymakers and the professional community for the effective implementation of the legislation, addressing potential gaps and uncertainties. Key areas include AI literacy, classification rules for high-risk AI systems, data governance, transparency, human oversight, quality management, deployer obligations, regulatory sandboxes, post-market monitoring, information sharing, and market surveillance. By proposing actionable solutions, the statement highlights ESR's readiness in supporting appropriate…

• NI
  National Institute for Health and Care Research
• FE
  Friedrich-Alexander-Universität Erlangen-Nürnberg
• RU
  Radboud Universiteit
• AF
  Albert-Ludwigs-Universität Freiburg
• GO
  Great Ormond Street Hospital for Children
• UO
  University of Crete
• LU
  Latvijas Universitate
• RU
  Radboud Universitair Medisch Centrum
• UD
  Università degli Studi di Salerno
• UD
  Università di Pisa
• UK
  Universitätsklinikum Köln
• GO
  Great Ormond Street Institute of Child Health
• MF
  Medizinische Fakultät der Albert-Ludwigs-Universität Freiburg