TECHNOLOGICAL REVOLUTION IN BREAST CANCER DIAGNOSIS: BENEFITS OF ARTIFICIAL INTELLIGENCE IN IMAGE ANALYSIS

Abstract

Artificial Intelligence (AI) has revolutionized breast cancer imaging diagnosis, contributing to early and accurate detection of the disease. This study, conducted through an integrative literature review, aimed to understand the impact of AI on breast cancer imaging diagnosis. The review was carried out between February and March 2023, with searches conducted in the BVS, LILACS, and SciELO databases. The health descriptors used were: Physiotherapy, Facial Paralysis, Oral Health, and Neurology. A total of 46 articles were found, but only 8 comprised the final sample. AI-based tools, such as machine learning algorithms and neural networks, support radiologists by reducing diagnostic errors and optimizing analysis time. Despite advancements, challenges such as database quality, ethical issues, and integration into healthcare systems need to be addressed. With continuous investment and responsible use, AI can transform cancer care, promoting more effective and accessible diagnoses for patients.