Simple Summary Risk assessment in early breast cancer is critical for clinical decisions, but
defining risk categories poses a significant challenge. The integration of conventional …

Breast cancer is a significant cause of cancer-related mortality in women worldwide. Early
and precise diagnosis is crucial, and clinical outcomes can be markedly enhanced. The rise …

This review discusses the profound impact of artificial intelligence (AI) on breast cancer (BC)
diagnosis and management within the field of pathology. It examines the various …

The advent of artificial intelligence (AI) represents a real game changer in today's landscape
of breast cancer imaging. Several innovative AI-based tools have been developed and …

Simple Summary Risk stratification for early breast cancer (BC) is extremely relevant for
tailoring clinical decisions but challenging due to the absence of comprehensive guidelines …

Histologic grading of breast cancer involves review and scoring of three well-established
morphologic features: mitotic count, nuclear pleomorphism, and tubule formation. Taken …

Context.—Increasing implementation of whole slide imaging together with digital workflow
and advances in computing capacity enable the use of artificial intelligence (AI) in …

Breast cancer is a significant global health burden, with increasing morbidity and mortality
worldwide. Early screening and accurate diagnosis are crucial for improving prognosis …

Simple Summary Artificial intelligence (AI) has seamlessly integrated into the medical field,
especially in diagnostic imaging, thanks to ongoing AI advancements. It is widely used in …

Breast cancer is the most common malignant disease in women worldwide. In recent
decades, earlier diagnosis and better adjuvant therapy have substantially improved patient …