Artificial intelligence clustering of adult spinal deformity sagittal plane morphology predicts surgical characteristics, alignment, and outcomes
Wesley M. Durand, Renaud Lafage, D. Kojo Hamilton, Peter G. Passias, Han Jo Kim, Themistocles S. Protopsaltis, Virginie Lafage, Justin S. Smith, Christopher I. Shaffrey, Munish C. Gupta, Michael P. Kelly, Eric O. Klineberg, Frank J. Schwab, Jeffrey L. Gum, Gregory M. Mundis, Robert K. Eastlack, Khaled M. Kebaish, Alex Soroceanu, Richard A. Hostin, Doug Burton, Shay Bess, Christopher P. Ames, Robert A. Hart, Alan H. Daniels, International Spine Study Group (ISSG)
Topics & Concepts
MedicineSpinal deformitySagittal planeNeurosurgeryDeformityMorphology (biology)Cluster analysisOrthodonticsArtificial intelligencePhysical medicine and rehabilitationSurgeryAnatomyComputer scienceBiologyGeneticsScoliosis diagnosis and treatmentSpine and Intervertebral Disc PathologyMedical Imaging and Analysis