Machine-Learning Prediction of Capsular Contraction after Two-Stage Breast Reconstruction

Machine-Learning Prediction of Capsular Contraction after Two-Stage Breast Reconstruction

Background: Two-stage breast reconstruction is a common technique used to restore preoperative appearance in patients undergoing mastectomy. However, capsular contracture may develop and lead to implant failure and significant morbidity. The objective of this study is to build a machine-learning mod...

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Bibliographic Details
Main Authors: Yunchan Chen, Marcos Lu Wang, Grant G. Black, Nancy Qin, George Zhou, Jaime L. Bernstein, Malini Chinta, David M. Otterburn
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:JPRAS Open
Subjects:
Capsular contracture
Machine learning
Artificial intelligence
Implant-based reconstruction
Postoperative complications
Alloplastic reconstruction
Online Access:http://www.sciencedirect.com/science/article/pii/S2352587823000402

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http://www.sciencedirect.com/science/article/pii/S2352587823000402

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