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AI diagnostic technologies and the gap in colorectal cancer screening participation


Ameen, S and Wong, MC and Yee, KC and Nohr, C and Turner, P, AI diagnostic technologies and the gap in colorectal cancer screening participation, Studies in Health Technology and Informatics, 25 pp. 803-804. ISSN 0926-9630 (2022) [Refereed Article]

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DOI: doi:10.3233/SHTI220588


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 Details

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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