155513 - AI Diagnostic Technologies.pdf (113.33 kB)
AI diagnostic technologies and the gap in colorectal cancer screening participation
journal contribution
posted on 2023-05-21, 16:38 authored by Saleem AmeenSaleem Ameen, Ming WongMing Wong, Kwang YeeKwang Yee, Nohr, C, Paul TurnerPaul TurnerAI augmented clinical diagnostic tools are the latest research focus in colorectal cancer (CRC) detection. While the opportunity presented by AI-enhanced CRC diagnosis is sound, this paper highlights how its effectiveness with respect to reducing CRC-related mortality and enhancing patient outcomes may be limited by the fact that patient participation remains extremely low globally. This paper builds a foundation to consider how human factors tend to contribute to low participation rates and suggests that a more nuanced socio-technical approach to the development, implementation and evaluation of AI systems that is sensitive to the psycho-social and cultural dimension of CRC may lead to tools that increase screening uptake.
History
Publication title
Studies in Health Technology and InformaticsVolume
25Pagination
803-804ISSN
0926-9630Department/School
School of Information and Communication TechnologyPublisher
IOS PressPlace of publication
NetherlandsRights statement
© 2022 European Federation for Medical Informatics (EFMI) and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).Repository Status
- Open