A Review of Artificial Intelligence in Predicting Outcomes, Complications, and Survival Following Breast Cancer Surgery

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Authors: Abdullah Emre AKŞUN, İsmail CANBAŞ, Arda Alan Işık
Cited by: 1

Abstract

Background: The topic of artificial Intelligence and its application in medicine has gained tremendous popularity, coinciding with advances in its technology. Breast cancer treatments vary, with surgery being one of them. In this review, we aim to evaluate artificial Intelligence’s ability to predict surgical outcomes, complications, and survival rates after breast cancer surgery by analyzing original research conducted over the last 5 years. Materials and Methods: A PubMed search was conducted by two authors from January 1, 2020, to April 13, 2025, using the keywords "Artificial Intelligence" and "Breast Surgery". After elimination, 14 of the 215 articles were full-text screened, and nine original articles were selected for inclusion in our review. Discussion: Artificial intelligence models and systems have had a significant impact on the medical field, and breast cancer surgery is no exception. Several original research studies have explored AI's ability to predict surgical outcomes and postoperative results. In this review, we focus on the postoperative aspects of breast cancer surgery and its application of artificial intelligence. Of the nine articles included in this paper, all reported multiple statistically significant results (p

Fields of Study & Subjects

AI in cancer detection Artificial Intelligence in Healthcare and Education Radiomics and Machine Learning in Medical Imaging

Publication details

Journal / source
Albanian Journal of Trauma and Emergency Surgery
Publisher
Albanian Society for Trauma and Emergency Surgery
Volume
10
Issue
1
Pages
1995–1999
Publication date
20 January 2026
Language
EN