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AI Risk Prediction Tools for Autologous Breast Reconstruction

Jul 2026 · Journal of Surgical Oncology · Vol 134, pp. 539 - 547 · 0 citations · 32 references
Medicine

TL;DR

This study developed both traditional statistical and machine learning models to predict the risk of developing a 90‐day postoperative complication after autologous reconstruction.

Abstract

Autologous breast reconstruction offers patients a durable and natural‐appearing option after mastectomy. However, complication risks include flap loss, infection, and delayed wound healing. This study developed both traditional statistical and machine learning (ML) models to predict the risk of developing a 90‐day postoperative complication after autologous reconstruction.

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