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Artificial intelligence clustering of adult spinal deformity sagittal plane morphology predicts surgical characteristics, alignment, and outcomes.

Author List
Durand WM, Lafage R, Hamilton DK, Passias PG, Kim HJ, Protopsaltis T, Lafage V, Smith JS, Shaffrey C, Gupta M, Kelly MP, Klineberg EO, Schwab F, Gum JL, Mundis G, Eastlack R, Kebaish K, Soroceanu A, Hostin RA, Burton D, Bess S, Ames C, Hart RA, Daniels AH, International Spine Study Group (ISSG)
Publication
European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Publication ID (Profile URL)
https://researcherprofiles.org/profile/192087786
Publication Year
2021
PubMed ID
33856551
Publication Title
Durand WM, Lafage R, Hamilton DK, Passias PG, Kim HJ, Protopsaltis T, Lafage V, Smith JS, Shaffrey C, Gupta M, Kelly MP, Klineberg EO, Schwab F, Gum JL, Mundis G, Eastlack R, Kebaish K, Soroceanu A, Hostin RA, Burton D, Bess S, Ames C, Hart RA, Daniels AH, International Spine Study Group (ISSG). Artificial intelligence clustering of adult spinal deformity sagittal plane morphology predicts surgical characteristics, alignment, and outcomes. Eur Spine J. 2021 08; 30(8):2157-2166.