Beyond the algorithm: embedding ethics for trustworthy AI in radiology and oncology - Takeaway - MDSpire

Beyond the algorithm: embedding ethics for trustworthy AI in radiology and oncology

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  • 1

    AI in radiology and oncology enhances diagnostic accuracy but raises ethical and societal challenges that require careful consideration.

  • 2

    Trustworthiness in AI is essential for acceptance, necessitating a shift from high-level principles to context-specific, interdisciplinary approaches.

  • 3

    The study identified four dimensions of trustworthy AI: explainability, trust, accountability, and fairness, which are challenging to operationalize.

  • 4

    Ethical issues in AI cannot be treated solely as technical problems; they require engagement from diverse stakeholders to foster trust.

  • 5

    The proposed pathway emphasizes embedding ethics throughout the AI lifecycle, recognizing AI as a socio-technical actor in clinical environments.

Original Source(s)

Beyond the algorithm: embedding ethics for trustworthy AI in radiology and oncology

  • by Mónica Cano Abadía, Melanie Goisauf

  • April 20, 2026

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