Artificial intelligence for tumor-infiltrating lymphocytes (TILs) assessment in breast cancer: a narrative review

Abstract Breast cancer (BC) is the world’s second most frequent malignancy, affecting approximately 2.3 million women and causing over 600,000 deaths globally. Integrating artificial intelligence (AI) into tumor-infiltrating lymphocytes (TILs) assessment for BC treatment is important in diagnostics...

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Bibliographic Details
Published in:Egyptian Journal of Medical Human Genetics
Main Authors: Nurkhairul Bariyah Baharun, Mohamed Afiq Hidayat Zailani, Afzan Adam, Nasir M. Rajpoot, Qiaoyi XU, Reena Rahayu Md Zin
Format: Article
Language:English
Published: SpringerOpen 2025-10-01
Subjects:
Tumor-infiltrating lymphocytes
Artificial intelligence
Prognostic biomarkers
Digital pathology
Breast cancer
Online Access:https://doi.org/10.1186/s43042-025-00797-2

Internet

https://doi.org/10.1186/s43042-025-00797-2

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