Document Type : Original Article
Authors
1
Assistant professor of Obstetrics and Gynecological Health Nursing, Faculty of Nursing, Kafr Elsheikh University, Kafr Elsheikh, Egypt
2
Assistant professor of Maternal and Neonatal Health Nursing, Faculty of Nursing, Tanta University, Tanta, Egypt
3
Lecturer of Maternal and Neonatal Health Nursing, Faculty of Nursing, Tanta University, Tanta, Egypt
10.21608/ejhc.2025.466185
Abstract
Background: The artificial intelligence Know Your Lemons mobile application offers an innovative approach to enhance women’s knowledge, beliefs, and engagement in early breast cancer detection. Aim: Evaluate the effectiveness of an artificial intelligence-based mobile application on perception and practices regarding early breast cancer detection among postmenopausal women. Design and Setting: A quasi-experimental design was conducted at the outpatient clinic of the Obstetrics and Gynecology department at Kafr El-Sheik University Hospital, Egypt. Sample: A purposive sample of 139 postmenopausal women participated in the study. Tools: Data were collected using four instruments: a structured interview comprising three parts —demographic characteristics, clinical and reproductive history, and knowledge about early breast cancer detection; women’s practices for promoting early detection and prevention of breast cancer; the App Usability and Engagement Scale; and the Health Belief Model Scale. Results: Following the intervention, participants demonstrated significant improvements in knowledge and early detection practices, including breast self-examination, clinical breast examination, and mammography. Usability and engagement with the app increased markedly, and health beliefs improved across all Health Belief Model constructs, with a reduction in perceived barriers. Conclusion: The artificial intelligence-based mobile application ''Know Your Lemons'' proved to be effective, user-friendly, and motivational in improving postmenopausal women’s perception and practices regarding early breast cancer detection. Recommendation: Integrating artificial intelligence-based educational tools into national health programs may strengthen early detection and enhance women’s health outcomes.
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