AI Diagnostic Technologies and the Gap in Colorectal Cancer Screening Participation

Saleem Ameen; Ming Chao Wong; Kwang Chien Yee; Christian Nøhr; Paul Turner

doi:10.3233/SHTI220588

AI Diagnostic Technologies and the Gap in Colorectal Cancer Screening Participation

Saleem Ameen^*, Ming Chao Wong, Kwang Chien Yee, Christian Nøhr, Paul Turner

^*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

1 Citationer (Scopus)

19 Downloads (Pure)

Abstract

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.

Originalsprog	Engelsk
Titel	Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022
Redaktører	Brigitte Seroussi, Patrick Weber, Ferdinand Dhombres, Cyril Grouin, Jan-David Liebe, Jan-David Liebe, Jan-David Liebe, Sylvia Pelayo, Andrea Pinna, Bastien Rance, Bastien Rance, Lucia Sacchi, Adrien Ugon, Adrien Ugon, Arriel Benis, Parisis Gallos
Antal sider	2
Vol/bind	294
Forlag	IOS Press
Publikationsdato	25 maj 2022
Sider	803-804
ISBN (Elektronisk)	9781643682846
DOI	https://doi.org/10.3233/SHTI220588
Status	Udgivet - 25 maj 2022
Begivenhed	32nd Medical Informatics Europe Conference, MIE 2022 - Nice, Frankrig Varighed: 27 maj 2022 → 30 maj 2022

Konference

Konference	32nd Medical Informatics Europe Conference, MIE 2022
Land/Område	Frankrig
By	Nice
Periode	27/05/2022 → 30/05/2022
Sponsor	Norwegian Centre for E-health Research

Navn	Studies in Health Technology and Informatics
Vol/bind	294
ISSN	0926-9630

Bibliografisk note

Publisher Copyright:
© 2022 European Federation for Medical Informatics (EFMI) and IOS Press.

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10.3233/SHTI220588Licens: CC BY-NC 4.0

Open Access articleForlagets udgivne version, 113 KBLicens: CC BY-NC 4.0

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Citationsformater

Ameen, S., Wong, M. C., Yee, K. C., Nøhr, C., & Turner, P. (2022). AI Diagnostic Technologies and the Gap in Colorectal Cancer Screening Participation. I B. Seroussi, P. Weber, F. Dhombres, C. Grouin, J.-D. Liebe, J.-D. Liebe, J.-D. Liebe, S. Pelayo, A. Pinna, B. Rance, B. Rance, L. Sacchi, A. Ugon, A. Ugon, A. Benis, & P. Gallos (red.), Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022 (Bind 294, s. 803-804). IOS Press. https://doi.org/10.3233/SHTI220588

Ameen, Saleem ; Wong, Ming Chao ; Yee, Kwang Chien et al. / AI Diagnostic Technologies and the Gap in Colorectal Cancer Screening Participation. Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022. red. / Brigitte Seroussi ; Patrick Weber ; Ferdinand Dhombres ; Cyril Grouin ; Jan-David Liebe ; Jan-David Liebe ; Jan-David Liebe ; Sylvia Pelayo ; Andrea Pinna ; Bastien Rance ; Bastien Rance ; Lucia Sacchi ; Adrien Ugon ; Adrien Ugon ; Arriel Benis ; Parisis Gallos. Bind 294 IOS Press, 2022. s. 803-804 (Studies in Health Technology and Informatics, Bind 294).

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title = "AI Diagnostic Technologies and the Gap in Colorectal Cancer Screening Participation",

abstract = "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.",

keywords = "colorectal cancer screening, patient outcomes, socio-technical design",

author = "Saleem Ameen and Wong, {Ming Chao} and Yee, {Kwang Chien} and Christian N{\o}hr and Paul Turner",

note = "Publisher Copyright: {\textcopyright} 2022 European Federation for Medical Informatics (EFMI) and IOS Press.; 32nd Medical Informatics Europe Conference, MIE 2022 ; Conference date: 27-05-2022 Through 30-05-2022",

year = "2022",

month = may,

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doi = "10.3233/SHTI220588",

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Ameen, S, Wong, MC, Yee, KC, Nøhr, C & Turner, P 2022, AI Diagnostic Technologies and the Gap in Colorectal Cancer Screening Participation. i B Seroussi, P Weber, F Dhombres, C Grouin, J-D Liebe, J-D Liebe, J-D Liebe, S Pelayo, A Pinna, B Rance, B Rance, L Sacchi, A Ugon, A Ugon, A Benis & P Gallos (red), Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022. bind 294, IOS Press, Studies in Health Technology and Informatics, bind 294, s. 803-804, 32nd Medical Informatics Europe Conference, MIE 2022, Nice, Frankrig, 27/05/2022. https://doi.org/10.3233/SHTI220588

AI Diagnostic Technologies and the Gap in Colorectal Cancer Screening Participation. / Ameen, Saleem; Wong, Ming Chao; Yee, Kwang Chien et al.
Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022. red. / Brigitte Seroussi; Patrick Weber; Ferdinand Dhombres; Cyril Grouin; Jan-David Liebe; Jan-David Liebe; Jan-David Liebe; Sylvia Pelayo; Andrea Pinna; Bastien Rance; Bastien Rance; Lucia Sacchi; Adrien Ugon; Adrien Ugon; Arriel Benis; Parisis Gallos. Bind 294 IOS Press, 2022. s. 803-804 (Studies in Health Technology and Informatics, Bind 294).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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T1 - AI Diagnostic Technologies and the Gap in Colorectal Cancer Screening Participation

AU - Ameen, Saleem

AU - Wong, Ming Chao

AU - Yee, Kwang Chien

AU - Nøhr, Christian

AU - Turner, Paul

PY - 2022/5/25

Y1 - 2022/5/25

N2 - 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.

AB - 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.

KW - colorectal cancer screening

KW - patient outcomes

KW - socio-technical design

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AN - SCOPUS:85131106821

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BT - Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022

A2 - Seroussi, Brigitte

A2 - Weber, Patrick

A2 - Dhombres, Ferdinand

A2 - Grouin, Cyril

A2 - Liebe, Jan-David

A2 - Pelayo, Sylvia

A2 - Pinna, Andrea

A2 - Rance, Bastien

A2 - Sacchi, Lucia

A2 - Ugon, Adrien

A2 - Benis, Arriel

A2 - Gallos, Parisis

PB - IOS Press

T2 - 32nd Medical Informatics Europe Conference, MIE 2022

Y2 - 27 May 2022 through 30 May 2022

ER -

Ameen S, Wong MC, Yee KC, Nøhr C, Turner P. AI Diagnostic Technologies and the Gap in Colorectal Cancer Screening Participation. I Seroussi B, Weber P, Dhombres F, Grouin C, Liebe JD, Liebe JD, Liebe JD, Pelayo S, Pinna A, Rance B, Rance B, Sacchi L, Ugon A, Ugon A, Benis A, Gallos P, red., Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022. Bind 294. IOS Press. 2022. s. 803-804. (Studies in Health Technology and Informatics, Bind 294). doi: 10.3233/SHTI220588

AI Diagnostic Technologies and the Gap in Colorectal Cancer Screening Participation

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