Conferenza: Italian Workshop on Neural Networks (WIRN) 2024

Date: 05-07/06/2024

Autori: Andrea Berti (1,2), Valentina Giannini (3,4), Simone Mazzetti (3), Maria Antonietta Pascali (2), Daniele Regge (3), Sara Colantonio (2)

Affiliazioni:

1) Department of Information Engineering, University of Pisa, Via Caruso 16, Pisa, 56122, Pisa, Italy.
2) Institute of Information Science and Technologies (ISTI), National Research Council (CNR), Via Moruzzi 1, Pisa, 56124, Pisa, Italy.
3) Department of Radiology, Candiolo Cancer Institute, FPO-IRCCS, Strada Provinciale 142, Km 3.95, Candiolo, 10060, Turin, Italy.
3) Department of surgical science, University of Turin, via Genova 3, Turin, 10126, Turin, Italy.

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.

Rivista: Smart Innovation, Systems and Technologies (rank: Computer Science (miscellane- ous) Q4; Decision Sciences (miscellaneous) Q4)