Machine learning prediction of breast cancer local recurrence localization, and distant metastasis after local recurrences

Machine learning prediction of breast cancer local recurrence localization, and distant metastasis after local recurrences

Abstract Local recurrences (LR) can occur within residual breast tissue, chest wall, skin, or newly formed scar tissue. Artificial intelligence (AI) technologies can extract a wide range of tumor features from large datasets helping in oncological decision-making. Recently, machine learning (ML) mod...

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Bibliographic Details
Main Authors: Kristóf Attila Kovács, Csaba Kerepesi, Dalma Rapcsák, Lilla Madaras, Ákos Nagy, Anikó Takács, Magdolna Dank, Gyöngyvér Szentmártoni, Attila Marcell Szász, Janina Kulka, Anna Mária Tőkés
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Breast cancer
Local recurrences
Machine learning
Online Access:https://doi.org/10.1038/s41598-025-89339-9

Internet

https://doi.org/10.1038/s41598-025-89339-9

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