Using a Machine Learning Approach to Predict the Need for Elective Revision and Unplanned Surgery after Implant-based Breast Reconstruction

Using a Machine Learning Approach to Predict the Need for Elective Revision and Unplanned Surgery after Implant-based Breast Reconstruction

Summary:. Two-stage implant-based reconstruction after mastectomy may require secondary revision procedures to treat complications, correct defects, and improve aesthetic outcomes. Patients should be counseled on the possibility of additional procedures during the initial visit, but the likelihood o...

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Bibliographic Details
Main Authors: Yunchan Chen, BS, Ashley Zhang, BSE, Marcos Lu Wang, BA, Grant G. Black, BA, George Zhou, BS, David M. Otterburn, MD
Format: Article
Language:English
Published: Wolters Kluwer 2024-03-01
Series:Plastic and Reconstructive Surgery, Global Open
Online Access:http://journals.lww.com/prsgo/fulltext/10.1097/GOX.0000000000005542

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http://journals.lww.com/prsgo/fulltext/10.1097/GOX.0000000000005542

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