背景:宫颈癌是女性中第四常见的癌症,90%的宫颈癌相关死亡发生在喀麦隆等低收入和中等收入国家。在低资源环境中,经常使用乙酸进行目视检查以筛查宫颈癌;然而,它的准确性是有限的。为了解决这个问题,瑞士洛桑联邦理工学院和日内瓦大学医院正在合作开发一种基于智能手机的自动图像分类器,该分类器可作为癌症病变的计算机辅助诊断工具。这项研究的主要目的是探索Dschang女性对依靠人工智能使用宫颈癌筛查工具的可接受性和观点。第二个目标是了解女性希望获得的关于这种基于人工智能的筛查工具的信息的首选形式和类型。
方法:采用定性方法来更好地了解女性的观点。参与者,从农村和城市地区邀请了30至49岁的人,并使用预先测试的采访指南进行了半结构化采访。焦点小组是根据教育水平划分的,以及HPV状态。采访是录音的,转录,并使用ATLAS编码。ti软件。
结果:共有32名参与者参加了六个焦点小组,38%的参与者接受了小学教育。使用技术接受模型的改编版本对确定的观点进行了分类。影响人工智能可接受性的关键因素包括隐私问题,感知有用性,以及对提供者能力的信任,该工具的准确性以及智能手机的潜在负面影响。
结论:结果表明,基于人工智能的宫颈癌筛查工具对Dschang中的女性来说几乎是可以接受的。通过确保患者的机密性并提供明确的解释,可以在社区中促进接受,并可以提高对宫颈癌筛查的接受。
背景:日内瓦州伦理委员会,瑞士(CCER,N°2017-0110和CER修正案N°4)和喀麦隆国家人类健康研究伦理委员会(N°2022/12/1518/CE/CNERSH/SP)。NCT:03757299。
全球,宫颈癌是女性中第四常见的癌症。然而,90%的由宫颈癌引起的死亡发生在低收入和中等收入国家。不幸的是,传统上在喀麦隆等环境中用于检测宫颈癌的方法缺乏准确性。因此,瑞士联邦理工学院洛桑和日内瓦大学医院的研究人员正在开发一种基于人工智能的计算机辅助诊断工具,以使用智能手机应用程序检测癌前病变。这项研究的目的是探讨基于AI的工具对Dschang妇女进行宫颈癌筛查的可接受性和观点,喀麦隆西部的一个城市。对六个焦点小组和总共32名参与者进行了定性方法。这项研究强调的主要问题与隐私有关,信任医疗保健提供者的能力,该工具的准确性以及智能手机的潜在负面影响。总之,我们的结果表明,使用人工智能的计算机辅助诊断工具在Dschang的女性中大部分是可以接受的,只要保密,他们事先得到了明确的解释。
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.
CONCLUSIONS: 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.
BACKGROUND: 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.