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) | Synapse
March 3, 2026
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)
Puntos clave
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.