| Title: |
A survey on good AI: User-Centric AI Design in Healthcare |
| Authors: |
Berti, Andrea; Giannini, Valentina; Mazzetti, Simone; Pascali, Maria Antonietta; Regge, Daniele; Colantonio, Sara |
| Publisher Information: |
Zenodo |
| Publication Year: |
2024 |
| Collection: |
Zenodo |
| Description: |
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. |
| Document Type: |
conference object |
| Language: |
unknown |
| Relation: |
https://zenodo.org/records/13918943; oai:zenodo.org:13918943; https://doi.org/10.5281/zenodo.13918943 |
| DOI: |
10.5281/zenodo.13918943 |
| Availability: |
https://doi.org/10.5281/zenodo.13918943; https://zenodo.org/records/13918943 |
| Rights: |
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode |
| Accession Number: |
edsbas.495B6A6F |
| Database: |
BASE |