Harnessing Machine Learning to Predict Patient-Reported Outcomes After Breast Reconstruction: A Step Forward in Personalized Surgical Care
Highlight
This study showcases the development and validation of machine learning algorithms capable of accurately predicting patient-reported outcomes one year following breast reconstruction surgery. Leveraging large multicenter datasets, the models highlight key factors influencing outcomes, facilitating enhanced shared decision-making and tailored patient care.
Study Background
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This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.