Combined Artificial Intelligence Approaches Analyzing 1000 Conservative Patients with Back Pain—A Methodological Pathway to Predicting Treatment Efficacy and Diagnostic Groups

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

(2021) Wesley M. Durand et al.   EUROPEAN SPINE JOURNAL

Artificial intelligence predicts disk re-herniation following lumbar microdiscectomy: development of the “RAD” risk profile

(2021) Garrett K. Harada et al.   EUROPEAN SPINE JOURNAL

Using artificial intelligence algorithms to identify existing knowledge within the back pain literature

(2020) G. N. Kawchuk et al.   EUROPEAN SPINE JOURNAL

Use of Machine Learning and Artificial Intelligence to Drive Personalized Medicine Approaches for Spine Care

(2020) Omar Khan et al.   World Neurosurgery

Artificial intelligence facilitates decision-making in the treatment of lumbar disc herniations

(2020) André Wirries et al.   EUROPEAN SPINE JOURNAL

Intelligence-Based Spine Care Model: A New Era of Research and Clinical Decision-Making

(2020) G. Michael Mallow et al.   Global Spine Journal

Artificial Intelligence Based Hierarchical Clustering of Patient Types and Intervention Categories in Adult Spinal Deformity Surgery

(2019) Christopher P. Ames et al.   SPINE

Big Data and Artificial Intelligence:Will they change our practice?

(2019) Joanna Kedra et al.   JOINT BONE SPINE

High-performance medicine: the convergence of human and artificial intelligence

(2018) Eric J. Topol   NATURE MEDICINE

Determination of the Oswestry Disability Index score equivalent to a “satisfactory symptom state” in patients undergoing surgery for degenerative disorders of the lumbar spine—a Spine Tango registry-based study

(2016) Miranda L. van Hooff et al.   Spine Journal

Systematic Literature Review of Imaging Features of Spinal Degeneration in Asymptomatic Populations

(2014) W. Brinjikji et al.   AMERICAN JOURNAL OF NEURORADIOLOGY