ArticleBMC nursing2025
Empowering breast cancer clients through AI chatbots: transforming knowledge and attitudes for enhanced nursing care.
Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 10 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Empowering Breast Cancer Clients Through AI Chatbots: Transforming Knowledge and Attitudes for Enhanced Nursing Care
Evaluating an AI-Based Mobile Application for Chemotherapy Support in Breast Cancer Patients: A Randomized Controlled Trial
Who cites it
10 citing papers in PubMed.
- Lessons Learned From Implementing a Culturally Tailored Virtual Support Program for Asian American Breast Cancer Survivors With Pain and Depression.Journal of medical Internet research · 2026Article
- Evaluating the Performance of Large Language Models for Breast Cancer Patient Education: A Comparative Study.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026Article
- New model for remote symptom management and self-care of cancer patients based on digital health platforms: a narrative review.Translational cancer research · 2026Review
- A Nationwide Cross-Sectional Survey of Knowledge, Attitudes, and Practices on Rabies in Saudi Arabia.Tropical medicine and infectious disease · 2026Article
- Review
- Artificial intelligence to meet the psychosocial needs of cancer patients: a systematic review of randomized controlled trials.Revista da Associacao Medica Brasileira (1992) · 2026Article
- Cultural empathy development through simulation-based education: a qualitative exploration of Saudi nursing students' and academics' experiences.BMC nursing · 2025Article
- The relationship between oncology nurses' emotional intelligence, burnout, and patient-centered communication: a cross-sectional study.BMC nursing · 2025Article
- Short Sleep Duration Is Associated with Overestimated Myopia in University Students.Nature and science of sleep · 2025Article
- Digital Tools and Strategies for Engaging Patients in Cancer Clinical Trials.Cancer control : journal of the Moffitt Cancer CenterReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBreast cancer remains a leading cause of morbidity worldwide, necessitating innovative and accessible interventions that address both clinical and psychosocial needs. AI-powered chatbots are increasingly used in health education due to their 24/7 availability, personalization, and interactivity. However, empirical evidence on their effectiveness in enhancing knowledge, empowerment, and attitudes in oncology settings remains limited.
aimThis randomized controlled trial (RCT) evaluated the impact of an AI chatbot intervention on knowledge, empowerment, and attitudes toward AI among breast cancer patients.
methodsA two-arm, pre-post RCT was conducted with 122 women diagnosed with breast cancer at Kafr El-Sheikh University Hospital. Participants were randomly assigned to an intervention group (n = 61) receiving structured AI chatbot-based education plus standard care, or a control group (n = 61) receiving standard care alone. Data were collected using validated questionnaires assessing breast cancer and AI knowledge, attitudes toward AI, and perceived empowerment. G*Power analysis determined sample adequacy for between-group comparisons.
resultsPost-intervention, the intervention group showed significantly higher knowledge (20.3 ± 2.1 vs. 17.9 ± 3.4, p <.001) and more positive attitudes (82.4 ± 7.2 vs. 72.6 ± 8.9, p <.001) compared to controls. Logistic regression indicated that knowledge gain and higher education predicted a positive AI attitude. Path analysis revealed both direct and mediated effects of knowledge on attitude via empowerment. Usage data and chatbot session logs supported high engagement.
conclusionIntegrating AI chatbots into oncology nursing care significantly enhances knowledge, empowerment, and AI acceptance. These findings support chatbot integration in patient-centered digital health strategies, particularly in oncology. CLINICAL TRIAL NUMBER: Not applicable.
trial registrationNCT06943911 (retrospectively registered on 24/4/2025).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.