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Review Open access Aug 2026

Advancing breast cancer clinical management through technological innovation: the potential role of artificial intelligence and integrated care models

In health care, artificial intelligence (AI) is emerging as a powerful tool to improve the quality of care, support health care professionals, and build a more streamlined and efficient health care system while also enhancing the patient experience. In particular, integrating AI into clinical practice through an innova...

A. Toss, L. Bellardita, A. Botticelli et al. · 0 citations
Review Open access Aug 2026

Endocrine therapy in early-stage estrogen Receptor-Low breast cancer: a systematic review and Meta-Analysis.

BACKGROUND Tumors with ≥1% estrogen receptor (ER) expression by immunohistochemistry (IHC) are classified as hormone receptor-positive. While this definition includes ER-low tumors (ER 1-9%), the clinical benefit of endocrine therapy (ET) in ER-low early-stage breast cancer (BC) remains uncertain. METHODS This is a s...

D. Massa, E. Chiappe, V. Delucchi et al. · 0 citations
Review Open access Sep 2026

Multigene testing to guide clinical adjuvant decisions in breast cancer: An overview focused on the assessment of the quality of evidence with the grading of recommendations assessment, development and evaluation (GRADE) approach.

Multigene tests have emerged as valuable tools in guiding adjuvant chemotherapy decisions for patients with ER-positive/HER2-negative early breast cancer. This study applied the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach to assess the quality of evidence supporting the clinical u...

M. Dieci, P. Conte, D. Generali et al. · 0 citations

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