Artificial Intelligence Based Hierarchical Clustering of Patient Types and Intervention Categories in Adult Spinal Deformity Surgery: Towards a New Classification Scheme that Predicts Quality and Value

Retrospective review of prospectively-collected, multicenter adult spinal deformity (ASD) databases. To apply artificial intelligence (AI)-based hierarchical clustering as a step toward a classification scheme that optimizes overall quality, value, and safety for ASD surgery. Prior ASD classificatio...

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Bibliographic Details

Published in:	Spine (Philadelphia, Pa. 1976) Vol. 44; no. 13; p. 915
Main Authors:	Ames, Christopher P, Smith, Justin S, Pellisé, Ferran, Kelly, Michael, Alanay, Ahmet, Acaroğlu, Emre, Pérez-Grueso, Francisco Javier Sánchez, Kleinstück, Frank, Obeid, Ibrahim, Vila-Casademunt, Alba, Shaffrey, Jr, Christopher I, Burton, Douglas, Lafage, Virginie, Schwab, Frank, Shaffrey, Sr, Christopher I, Bess, Shay, Serra-Burriel, Miquel
Format:	Journal Article
Language:	English
Published:	United States 01.07.2019
ISSN:	1528-1159, 1528-1159
Online Access:	Get more information
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