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AI diagnostic technologies and the gap in colorectal cancer screening participation

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journal contribution
posted on 2023-05-21, 16:38 authored by Saleem AmeenSaleem Ameen, Ming WongMing Wong, Kwang YeeKwang Yee, Nohr, C, Paul TurnerPaul Turner
AI 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 Informatics

Volume

25

Pagination

803-804

ISSN

0926-9630

Department/School

School of Information and Communication Technology

Publisher

IOS Press

Place of publication

Netherlands

Rights 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

Socio-economic Objectives

Prevention of human diseases and conditions; Preventive medicine; Artificial intelligence

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