Transforming breast cancer care: harnessing the power of artificial intelligence and imaging for predicting pathological complete response. a narrative review Authors Kulsoom Shaikh Department of Breast Surgery, Aga Khan University Hospital Mehwish Mooghal Department of Breast Surgery, Aga Khan University Hospital Abdullah Ameen Department of Radiology, Aga Khan University Hospital Karachi Wajiha Khan Department of Surgery and Medicine, Dow University of Health Sciences Sana Zeeshan Department of Surgery, Aga Khan University Hospital Karachi, Pakistan. Lubna Mushtaq Vohra Department of Surgery, Aga Khan University Hospital Karachi, Pakistan. DOI: https://doi.org/10.47391/JPMA.AKU-9S-07 Abstract This narrative review explores the transformative potential of Artificial Intelligence (AI) and advanced imaging techniques in predicting Pathological Complete Response (pCR) in Breast Cancer (BC) patients undergoing Neo-Adjuvant Chemotherapy (NACT). Summarizing recent research findings underscores the significant strides made in the accurate assessment of pCR using AI, including deep learning and radiomics. Such AI-driven models offer promise in optimizing clinical decisions, personalizing treatment strategies, and potentially reducing the burden of unnecessary treatments, thereby improving patient outcomes. Furthermore, the review acknowledges the potential of AI to address healthcare disparities in Low- and Middle-Income Countries (LMICs), where accessible and scalable AI solutions may enhance BC management. Collaboration and international efforts are essential to fully unlock the potential of AI in BC care, offering hope for a more equitable and effective approach to treatment worldwide. Keywords: Artificial Intelligence, Learning, Breast Neoplasms, Healthcare Disparities, Neoadjuvant Therapy, Radiomics, Neoadjuvant Therapy, Pathological Response, Magnetic Resonance Imaging Downloads Full Text Article Published 2024-05-03 How to Cite Kulsoom Shaikh, Mehwish Mooghal, Abdullah Ameen, Wajiha Khan, Sana Zeeshan, & Lubna Mushtaq Vohra. (2024). Transforming breast cancer care: harnessing the power of artificial intelligence and imaging for predicting pathological complete response. a narrative review. Journal of the Pakistan Medical Association, 74(4), S–43. https://doi.org/10.47391/JPMA.AKU-9S-07 More Citation Formats ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX Issue Vol. 74 No. 4 (2024): 9th AKU Annual Surgical Conference - Surgery In The Digital Era Section NARRATIVE REVIEW License Copyright (c) 2024 Journal of the Pakistan Medical Association This work is licensed under a Creative Commons Attribution 4.0 International License.