Innovations in artificial intelligence-driven breast cancer survival prediction: A narrative review

Authors

Mehwish Mooghal, Aga Khan UniversityFollow
Saad Nasir, Aga Khan UniversityFollow
Aiman Arif, Aga Khan UniversityFollow
Wajiha Khan, Aga Khan University
Yasmin Abdul Rashid, Aga Khan UniversityFollow
Lubna Vohra, Aga Khan UniversityFollow

Document Type

Article

Department

Haematology/Oncology; Surgery; Breast Surgery

Abstract

This narrative review explores the burgeoning field of Artificial Intelligence (AI)-driven Breast Cancer (BC) survival prediction, emphasizing the transformative impact on patient care. From machine learning to deep neural networks, diverse models demonstrate the potential to refine prognosis accuracy and tailor treatment strategies. The literature underscores the need for clinician integration and addresses challenges of model generalizability and ethical considerations. Crucially, AI's promise extends to Low- and Middle-Income Countries (LMICs), presenting an opportunity to bridge healthcare disparities. Collaborative efforts in research, technology transfer, and education are essential to empower healthcare professionals in LMICs. As we navigate this frontier, AI emerges not only as a technological advancement but as a guiding light toward personalized, accessible BC care, marking a significant stride in the global fight against this formidable disease.

Comments

Issue and pagination are not provided by the author/publisher.

Publication (Name of Journal)

Cancer Informatics

DOI

10.1177/11769351241272389

Recommended Citation

Mooghal, M., Nasir, S., Arif, A., Khan, W., Rashid, Y. A., Vohra, L. (2024). Innovations in artificial intelligence-driven breast cancer survival prediction: A narrative review. Cancer Informatics, 23.
Available at: https://ecommons.aku.edu/pakistan_fhs_mc_surg_breast/19