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Integral prognostic indices are presented in detail, including the Nottingham Prognostic Index (NPI), its modifications (NPI+, METASTASIS), the Total malignancy score (TMS), as well as new digital models and artificial intelligence algorithms predicting lymph node metastasis (LN) and response to therapy. The advantages of these indices in risk stratification and treatment selection are highlighted, as are their limitations related to tumor heterogeneity, dependence on research methods, and the need for integration with molecular genetic testing and digital technologies to further improve a personalized approach to breast cancer patient care. The following open scientific online resources were used to search for literature sources: PubMed, eLibrary, and the National Library of Medicine. 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