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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.

Item Type:	Refereed Article
Keywords:	artificial intelligence, colorectal cancer, socio-technical design, patient outcomes
Research Division:	Biomedical and Clinical Sciences
Research Group:	Clinical sciences
Research Field:	Gastroenterology and hepatology
Objective Division:	Health
Objective Group:	Clinical health
Objective Field:	Prevention of human diseases and conditions
UTAS Author:	Ameen, S (Mr Saleem Ameen)
UTAS Author:	Wong, MC (Dr Ming Wong)
UTAS Author:	Yee, KC (Dr Kwang Yee)
UTAS Author:	Turner, P (Associate Professor Paul Turner)
ID Code:	155513
Year Published:	2022
Deposited By:	Medicine
Deposited On:	2023-02-26
Last Modified:	2023-03-08
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