Beyond the algorithm: embedding ethics for trustworthy AI in radiology and oncology
BackgroundArtificial intelligence (AI) in radiology and oncology promises improvements in diagnostic accuracy and efficiency yet introduces complex ethical and societal challenges. Governance efforts frequently rely

