Editorial | Artificial Intelligence-Augmented Breast Ultrasound: Advancing Diagnostic Precision and Equity in Cancer...

Breast cancer poses a significant public health concern in Kuwait, accounting for 37.4% of all newly diagnosed female cancer cases as reported by the Kuwait National Cancer Registry. The rising incidence, coupled with variability in imaging expertise, contributes to diagnostic delays and disparities in patient care. Artificial intelligence (AI) has rapidly become a transformative tool supporting breast ultrasound, enhancing diagnostic accuracy, standardization, and assistance for non-specialist providers. This editorial evaluates the potential of AI-enabled ultrasound to improve diagnostic performance by increasing sensitivity, decreasing false positive rates, and reducing inter-observer variability, while also addressing structural inequities that affect cancer outcomes within the region. Recent advancements in deep learning and radiomics-based tools are reviewed, alongside considerations related to governance and ethics, and recommendations for practical integration of AI solutions into national breast cancer management pathways are provided. The adoption of AI-augmented ultrasound holds considerable promise for strengthening Kuwait's capacity for early detection and advancing equitable, high-quality cancer care. Keywords: Artificial intelligence, breast ultrasound, diagnostic precision, cancer care, Kuwait, equity.