Acceptability of artificial intelligence for cervical cancer screening in Dschang, Cameroon: a qualitative study on patient perspectives.

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.

"My motivation was to save": a qualitative study exploring factors influencing motivation of community healthcare workers in a cervical cancer screening program in Dschang, Cameroon.

Background: Cervical cancer is a major public health issue among women in Cameroon and uptake of screening programs remains a challenge in many low- and middle-income countries. Community healthcare workers can play an important role in promoting cervical cancer services. This study aimed to explore factors affecting the motivation of community healthcare workers in a cervical cancer screening program in Dschang, Cameroon.

Cross-sectional survey of knowledge of obstetric danger signs among women in rural Madagascar.

Background: Antenatal care (ANC) has the potential to identify and manage obstetric complications, educate women about risks during pregnancy and promote skilled birth attendance during childbirth. The aim of this study was to assess women's knowledge of obstetric danger signs and factors associated with this knowledge in Ambanja, Madagascar. It also sought to evaluate whether the participation in a mobile health (mHealth) project that aimed to provide comprehensive ANC to pregnant women in remote areas influenced women's knowledge of obstetric danger signs.