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

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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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-11
DOI
https://doi.org/10.5281/zenodo.13918942
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

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

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
University of Pisa (IT), Institute of Information Science (SI), Candiolo Cancer Institute (IT), University of Turin (IT)
Partnerships for the goals
Openalex Percentile: Top 75%
Artificial Intelligence in Healthcare and Education
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A survey on good AI: User-Centric AI Design in Healthcare · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS