Page 30 - Read Online
P. 30
Toossi et al. Art Int Surg 2024;4:258-66 https://dx.doi.org/10.20517/ais.2024.27 Page 266
analysis. Global Spine J 2024;14:970-7. DOI PubMed PMC
44. Ryu SJ, So JY, Ha Y, et al. Risk factors for unplanned reoperation after corrective surgery for adult spinal deformity. Bone Joint Res
2023;12:245-55. DOI PubMed PMC
45. Ames CP, Smith JS, Gum JL, et al. Utilization of predictive modeling to determine episode of care costs and to accurately identify
catastrophic cost nonwarranty outlier patients in adult spinal deformity surgery: a step toward bundled payments and risk sharing.
Spine 2020;45:E252-65. DOI PubMed
46. Wondra JP 2nd, Kelly MP, Greenberg J, et al. Validation of adult spinal deformity surgical outcome prediction tools in adult
symptomatic lumbar scoliosis. Spine 2023;48:21-8. DOI PubMed PMC
47. Yagi M, Yamanouchi K, Fujita N, Funao H, Ebata S. Revolutionizing spinal care: current applications and future directions of artificial
intelligence and machine learning. J Clin Med 2023;12:4188. DOI PubMed PMC
48. Haddad S, Pizones J, Raganato R, et al. Future data points to implement in adult spinal deformity assessment for artificial intelligence
modeling prediction: the importance of the biological dimension. Int J Spine Surg 2023;17:S34-44. DOI PubMed PMC
49. Choy W, Azad TD, Scheer JK, Safaee MM, Ames CP. Biomarkers in adult spinal deformity surgery. Semin Spine Surg
2023;35:101058. DOI
50. Galbusera F, Cina A, Samartzis D. Commentary on “Predicting mechanical complications after adult spinal deformity operation using
a machine learning based on modified global alignment and proportion scoring with body mass index and bone mineral density”.
Neurospine 2023;20:275-7. DOI PubMed PMC