USE OF ARTIFICIAL INTELLIGENCE FOR BREAST CANCER SCREENING: AN INTEGRATIVE REVIEW

Abstract

This study aimed to analyze the use of artificial intelligence-based tools in the management of patients diagnosed with or suspected of breast cancer, specifically in the investigation of women of screening age. It proposes qualitative, fundamental exploratory research, specifically through an integrative literature review. Artificial Intelligence has the potential to reduce inequalities in access to diagnosis, especially in rural and low-income populations, overcoming geographic and structural barriers. However, its effectiveness depends on the representativeness of training data, algorithmic transparency, and cultural and ethical acceptance by patients and healthcare professionals. Although advances are promising, the incorporation of AI into breast cancer screening must be accompanied by multicenter validation, continuous monitoring, and professional training to ensure that the clinical benefits are real, sustainable, and equitable. Therefore, further studies are needed to evaluate the long-term outcomes and with more participants, which will provide greater robustness to the findings.