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A survey on good AI: User-Centric AI Design in Healthcare

Year: 2024

Type: conference-paper

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.13918942

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

Institutions: University of Pisa, Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo", Candiolo Cancer Institute, University of Turin

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W6893022193

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