Abstract
Advancements in artificial intelligence (AI) are redefining innovation in healthcare. In the radiology do‐ main, advanced AI systems have shown promising performance in medical tasks such as tumordetection and treatment plan. Given the multidisciplinary nature of the medical AIdevelopmentteam, challenges in collaboration, design, and integration are common. Forexample, the design lens is less present, researchers from different disciplines speak different languages, and clinicians as the end‐users often play the external consultant role rather than team members. To address these gaps, we present the development of a col‐ labor ation platform, an AI‐assisted computer‐aided diagnosis (CAD) system for radiology, usinga Research through Design (RtD) methodology. Through a three‐phase case study, we showcase a novel way of oper‐ ation ali zing multidisciplinary collaboration with design team playing the coordinating and integrating role, highlighting the importance of including subject‐matter experts directly in development teams. Wealso provide a design and development guideline for multidisciplinary researchteam. Moreover, this case study demonstrate show design struggles and decisions contribute to knowledge generation, offering strategies to balance human‐and techno‐centric perspectives. Reflecting on the process, we provide pertinent input for design research, HCI, and design and collaboration implications for developing AIsystemsinradiology, and for healthcare AImoregenerally.
Keywords
Researchthroughdesign; Multidisciplinaryteams; Healthcare AI; Prototyping
DOI
https://doi.org/10.21606/iasdr.2025.1100
Citation
Fang, N., Bruno, V., Ruijs, N., Pluyter, J., Chen, L.,and Funk, M.(2025) The Many Chefs in the AI Kitchen: Collaborative AI Design and Development in Oncology, in Chang, C.-Y., Chen, C.-H., & Hsu, Y. (eds.), IASDR 2025: Design Next, 02-05 December, Taiwan. https://doi.org/10.21606/iasdr.2025.1100
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Conference Track
Track 9 - Healthcare Design
The Many Chefs in the AI Kitchen: Collaborative AI Design and Development in Oncology
Advancements in artificial intelligence (AI) are redefining innovation in healthcare. In the radiology do‐ main, advanced AI systems have shown promising performance in medical tasks such as tumordetection and treatment plan. Given the multidisciplinary nature of the medical AIdevelopmentteam, challenges in collaboration, design, and integration are common. Forexample, the design lens is less present, researchers from different disciplines speak different languages, and clinicians as the end‐users often play the external consultant role rather than team members. To address these gaps, we present the development of a col‐ labor ation platform, an AI‐assisted computer‐aided diagnosis (CAD) system for radiology, usinga Research through Design (RtD) methodology. Through a three‐phase case study, we showcase a novel way of oper‐ ation ali zing multidisciplinary collaboration with design team playing the coordinating and integrating role, highlighting the importance of including subject‐matter experts directly in development teams. Wealso provide a design and development guideline for multidisciplinary researchteam. Moreover, this case study demonstrate show design struggles and decisions contribute to knowledge generation, offering strategies to balance human‐and techno‐centric perspectives. Reflecting on the process, we provide pertinent input for design research, HCI, and design and collaboration implications for developing AIsystemsinradiology, and for healthcare AImoregenerally.