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Acceptability of artificial intelligence for cervical cancer screening in Dschang, Cameroon: a qualitative study on patient perspectives.
Sachdeva, Malika; Datchoua, Alida Moukam; Yakam, Virginie Flore; Kenfack, Bruno; Jonnalagedda-Cattin, Magali; Thiran, Jean-Philippe; Petignat, Patrick; Schmidt, Nicole Christine.
  • Sachdeva M; Faculty of Medicine, University of Geneva, Geneva, Switzerland. mlksachdeva@gmail.com.
  • Datchoua AM; Department of Gynaecology and Obstetrics, Dschang Regional Annex Hospital, Dschang, Cameroon.
  • Yakam VF; Institute of Global Health, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
  • Kenfack B; Department of Gynaecology and Obstetrics, Dschang Regional Annex Hospital, Dschang, Cameroon.
  • Jonnalagedda-Cattin M; Department of Gynaecology and Obstetrics, Dschang Regional Annex Hospital, Dschang, Cameroon.
  • Thiran JP; Signal Processing Laboratory LTS5, School of Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
  • Petignat P; EssentialTech Centre, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
  • Schmidt NC; Signal Processing Laboratory LTS5, School of Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Reprod Health ; 21(1): 92, 2024 Jun 28.
Article en En | MEDLINE | ID: mdl-38937771
ABSTRACT

BACKGROUND:

Cervical cancer is the fourth most frequent cancer among women, with 90% of cervical cancer-related deaths occurring in low- and middle-income countries like Cameroon. Visual inspection with acetic acid is often used in low-resource settings to screen for cervical cancer; however, its accuracy can be limited. To address this issue, the Swiss Federal Institute of Technology Lausanne and the University Hospitals of Geneva are collaborating to develop an automated smartphone-based image classifier that serves as a computer aided diagnosis tool for cancerous lesions. The primary objective of this study is to explore the acceptability and perspectives of women in Dschang regarding the usage of a screening tool for cervical cancer relying on artificial intelligence. A secondary objective is to understand the preferred form and type of information women would like to receive regarding this artificial intelligence-based screening tool.

METHODS:

A qualitative methodology was employed to gain better insight into the women's perspectives. Participants, aged between 30 and 49 were invited from both rural and urban regions and semi-structured interviews using a pre-tested interview guide were conducted. The focus groups were divided on the basis of level of education, as well as HPV status. The interviews were audio-recorded, transcribed, and coded using the ATLAS.ti software.

RESULTS:

A total of 32 participants took part in the six focus groups, and 38% of participants had a primary level of education. The perspectives identified were classified using an adapted version of the Technology Acceptance Model. Key factors influencing the acceptability of artificial intelligence include privacy concerns, perceived usefulness, and trust in the competence of providers, accuracy of the tool as well as the potential negative impact of smartphones.

CONCLUSION:

The results suggest that an artificial intelligence-based screening tool for cervical cancer is mostly acceptable to the women in Dschang. By ensuring patient confidentiality and by providing clear explanations, acceptance can be fostered in the community and uptake of cervical cancer screening can be improved. TRIAL REGISTRATION Ethical Cantonal Board of Geneva, Switzerland (CCER, N°2017-0110 and CER-amendment n°4) and Cameroonian National Ethics Committee for Human Health Research (N°2022/12/1518/CE/CNERSH/SP). NCT 03757299.
Globally, cervical cancer is the fourth most frequent cancer among women. However, 90% of all deaths caused by cervical cancer occur in low-and middle-income countries. Methods traditionally used in settings like Cameroon to detect cervical cancer unfortunately lack accuracy. Therefore, researchers at the Swiss Federal Institute of Technology Lausanne and the University Hospitals of Geneva are developing an artificial intelligence-based computer aided diagnosis tool to detect pre-cancerous lesions using a smartphone application. The aim of this study was to explore the acceptability and perspectives regarding an AI-based tool for cervical cancer screening for women in Dschang, a city in the west of Cameroon. A qualitative methodology was conducted with six focus groups and a total of 32 participants. The main concerns highlighted by the study are related to privacy, trust in the ability of the healthcare providers, accuracy of the tool as well as the potential negative impact of smartphones. In conclusion, our results show that a computer aided diagnosis tool using artificial intelligence is mostly acceptable to women in Dschang, as long as their confidentiality is preserved, and they are provided with clear explanations beforehand.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Aceptación de la Atención de Salud / Neoplasias del Cuello Uterino / Investigación Cualitativa / Detección Precoz del Cáncer Límite: Adult / Female / Humans / Middle aged País como asunto: Africa Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Aceptación de la Atención de Salud / Neoplasias del Cuello Uterino / Investigación Cualitativa / Detección Precoz del Cáncer Límite: Adult / Female / Humans / Middle aged País como asunto: Africa Idioma: En Año: 2024 Tipo del documento: Article