Assessment and AI-Based Prediction of Complications in Reduction Mammoplasty: A Combined Statistical and Fuzzy Inference Approach in a 10-Year Cohort from Tehran Hospitals (2013–2023)

Key Points

• Complications in reduction mammoplasty were assessed over a 10-year cohort, highlighting significant AI-based prediction capabilities.
• The analysis showed that nearly 30% of patients experienced complications, where predictive models enabled earlier intervention strategies.
• Assessment utilized a combination of statistical methods and fuzzy inference models, indicating a novel approach in surgical risk evaluation.
• The findings support the integration of AI in surgical settings, warranting further evaluation in broader, multi-center trials.