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

Wesley M DurandRenaud LafageD Kojo HamiltonPeter G PassiasHan Jo KimThemistocles ProtopsaltisVirginie LafageJustin S SmithChristopher ShaffreyMunish GuptaMichael P KellyEric O KlinebergFrank SchwabJeffrey L GumGregory MundisRobert EastlackKhaled KebaishAlex SoroceanuRichard A HostinDoug BurtonShay BessChristopher AmesRobert A HartAlan H Danielsnull null

Published in: 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 (2021)

Diagnostic: individual cross-sectional studies with the consistently applied reference standard and blinding.

Keyphrases

artificial intelligence
cross sectional
machine learning
big data
deep learning
spinal cord
single cell
rna seq
case control
type diabetes
spinal cord injury
skeletal muscle
adipose tissue
insulin resistance
weight loss