Clinical AI is Not (Yet) Trustworthy-But It Could Be - Takeaways - MDSpire

Clinical AI is Not (Yet) Trustworthy-But It Could Be

  • By

  • Ali Saad

  • Sofia B Dias

  • Ghada Alhussein

  • David Lyreskog

  • Ioannis Gerasimou

  • Beatriz Alves

  • Μaarten de Vos

  • Ioannis Drivas

  • John Zaras

  • Andreas Stergioulas

  • Iskanter Bensenousi

  • Leontios Hadjileontiadis

  • Christos Chatzichristos

  • Stelios Hadjidimitriou

  • April 29, 2026

  • 0 min

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  • 1

    AI's integration in health care is cautious due to concerns about trustworthiness, which encompasses reliability, ethics, and public confidence.

  • 2

    Trust in clinical AI is a multidimensional construct that includes transparency, interpretability, accountability, and alignment with ethical principles.

  • 3

    A procedural approach to trustworthiness in clinical AI is essential, embedding safeguards throughout the entire system development lifecycle.

  • 4

    The ALTAI framework provides a practical checklist for operationalizing ethical and regulatory principles in AI design and deployment.

  • 5

    Trust in AI emerges from dynamic interactions among users, institutions, and sociotechnical environments, requiring iterative processes for cultivation.

Original Source(s)

Clinical AI is Not (Yet) Trustworthy-But It Could Be

  • by Ali Saad, Sofia B Dias, Ghada Alhussein, David Lyreskog, Ioannis Gerasimou, Beatriz Alves, Μaarten de Vos, Ioannis Drivas, John Zaras, Andreas Stergioulas, Iskanter Bensenousi, Leontios Hadjileontiadis, Christos Chatzichristos, Stelios Hadjidimitriou

  • April 29, 2026

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