Effectiveness of an Artificial Intelligence-Based Mobile Application on Perception and Practices regarding Early Breast Cancer Detection among Postmenopausal Women | ||
| Egyptian Journal of Health Care | ||
| Volume 16, Issue 4, December 2025, Pages 399-433 PDF (1.11 M) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/ejhc.2025.466185 | ||
| Authors | ||
| Rasha Mohamed Hassan Eltelt1; Ghada Abd El-Salam Belal2; Anaam Ebrahim El-Nagar3 | ||
| 1Assistant professor of Obstetrics and Gynecological Health Nursing, Faculty of Nursing, Kafr Elsheikh University, Kafr Elsheikh, Egypt | ||
| 2Assistant professor of Maternal and Neonatal Health Nursing, Faculty of Nursing, Tanta University, Tanta, Egypt | ||
| 3Lecturer of Maternal and Neonatal Health Nursing, Faculty of Nursing, Tanta University, Tanta, Egypt | ||
| 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. | ||
| Keywords | ||
| Artificial Intelligence-Based Mobile Application; Breast cancer; Postmenopausal women | ||
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