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The integration of Artificial Intelligence (AI) in healthcare has the potential to revolutionize patient care by enhancing diagnostic processes, treatment protocols, and overall healthcare delivery. However, the adoption of AI-powered tools and services is contingent upon establishing a robust foundation of trust among healthcare professionals. The ProCAncer-I project, informed by the FUTURE-AI framework, is at the forefront of this effort, promoting a user-centric design philosophy that prioritizes the needs and expectations of end-users, primarily clinicians and radiologists. This paper delves into the co-design methodology adopted by an interdisciplinary team, elucidating the collaborative efforts that underpin the customization of the FUTURE-AI principles to align with the clinical requirements of the project’s partners. The introduction sets the stage for a comprehensive discussion on the significance of stakeholder engagement in the design and implementation of trustworthy AI systems within clinical settings.

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A Survey on Good AI: User-Centric AI Design in Healthcare

  • 章节

  • 发表日期：

    2026年

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  • Andrea Berti,
  • Valentina Giannini,
  • Simone Mazzetti,
  • Maria Antonietta Pascali,
  • Daniele Regge,
  • Sara Colantonio

摘要

The integration of Artificial Intelligence (AI) in healthcare has the potential to revolutionize patient care by enhancing diagnostic processes, treatment protocols, and overall healthcare delivery. However, the adoption of AI-powered tools and services is contingent upon establishing a robust foundation of trust among healthcare professionals. The ProCAncer-I project, informed by the FUTURE-AI framework, is at the forefront of this effort, promoting a user-centric design philosophy that prioritizes the needs and expectations of end-users, primarily clinicians and radiologists. This paper delves into the co-design methodology adopted by an interdisciplinary team, elucidating the collaborative efforts that underpin the customization of the FUTURE-AI principles to align with the clinical requirements of the project’s partners. The introduction sets the stage for a comprehensive discussion on the significance of stakeholder engagement in the design and implementation of trustworthy AI systems within clinical settings.