Malika Sachdeva’s research while affiliated with University of Geneva and other places

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Publications (1)


Map of the health areas of the District of Dschang, West Cameroon, modified from Ministère de la Santé Publique du Cameroun (https://dhis-minsante-cm.org/portal/), used from a publication with permission of Datchoua Moukam A.M. [12].
An adapted version of the TAM with the augmentations proposed by Dhagarra et al. in grey
of the factors explored during the study (denoted in blue) using the modified TAM
Acceptability of artificial intelligence for cervical cancer screening in Dschang, Cameroon: a qualitative study on patient perspectives
  • Article
  • Full-text available

June 2024

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97 Reads

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3 Citations

Reproductive Health

Malika Sachdeva

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Alida Moukam Datchoua

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Virginie Flore Yakam

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[...]

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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.

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Citations (1)


... While distrust was a complex subtheme threaded throughout all the papers and across all the themes, it was also specifically discussed in relation to the development and implementation of AI/ML, 46,47,55,57 and was greatly influenced by trust between consumers and doctors. 40,[44][45][46][47]53,[55][56][57]59,61 There was distrust in the purpose of AI/ ML, how it would be used, and by whom. Consumers expressly stated their distrust of insurance companies, 46,47 pharmaceutical companies 46,47 or other private companies 55 that 'were perceived to be driven by profit'. ...

Reference:

Consumer opinion on the use of machine learning in healthcare settings: A qualitative systematic review
Acceptability of artificial intelligence for cervical cancer screening in Dschang, Cameroon: a qualitative study on patient perspectives

Reproductive Health