|
[1]
|
Gelalis, I.D., Paschos, N.K., Pakos, E.E., Politis, A.N., Arnaoutoglou, C.M., Karageorgos, A.C., et al. (2012) Accuracy of Pedicle Screw Placement: A Systematic Review of Prospective in Vivo Studies Comparing Free Hand, Fluoroscopy Guidance and Navigation Techniques. European Spine Journal, 21, 247-255. [Google Scholar] [CrossRef] [PubMed]
|
|
[2]
|
Smith, J.S., Lafage, V., Shaffrey, C.I., Schwab, F., Lafage, R., Hostin, R., et al. (2016) Outcomes of Operative and Nonoperative Treatment for Adult Spinal Deformity: A Prospective, Multicenter, Propensity-Matched Cohort Assessment with Minimum 2-Year Follow-Up. Neurosurgery, 78, 851-861. [Google Scholar] [CrossRef] [PubMed]
|
|
[3]
|
Bohl, M.A., Mooney, M.A., Repp, G.J., et al. (2018) The Barrow Biomimetic Spine: Fluoroscopic Analysis of a Synthetic Spine Model Made of Variable 3D-Printed Materials and Print Parameters. Spine, 43, E1368-E1375.
|
|
[4]
|
Satin, A.M. and Lieberman, I.H. (2021) The Virtual Spine Examination: Telemedicine in the Era of COVID-19 and beyond. Global Spine Journal, 11, 966-974. [Google Scholar] [CrossRef] [PubMed]
|
|
[5]
|
Menezes, C.M., Tucci, C., Tamai, K., Chhabra, H.S., Alhelal, F.H., Bussières, A.E., et al. (2025) SPINE20 Recommendations 2024 Spinal Disability: Social Inclusion as a Key to Prevention and Management. Global Spine Journal, 15, 8-20. [Google Scholar] [CrossRef] [PubMed]
|
|
[6]
|
Tan, L.A., Yerneni, K., Tuchman, A., Li, X.J., Cerpa, M., Lehman Jr, R.A., et al. (2018) Utilization of the 3d-Printed Spine Model for Freehand Pedicle Screw Placement in Complex Spinal Deformity Correction. Journal of Spine Surgery, 4, 319-327. [Google Scholar] [CrossRef] [PubMed]
|
|
[7]
|
Burkhardt, F., Hermann, J., Shivadathathri, S., Semakula, J.P., Sekar, S.D. and Meixner, G. (2025) Integrating Artificial Intelligence into Mixed Reality for Back Detection and Virtual 3D Spine Visualization on Scoliosis Patients. In: Studies in Health Technology and Informatics, IOS Press, 906-910. [Google Scholar] [CrossRef] [PubMed]
|
|
[8]
|
Lowndes, B.R., Forsyth, K.L., Blocker, R.C., Dean, P.G., Truty, M.J., Heller, S.F., et al. (2020) NASA-TLX Assessment of Surgeon Workload Variation across Specialties. Annals of Surgery, 271, 686-692. [Google Scholar] [CrossRef] [PubMed]
|
|
[9]
|
Molliqaj, G., Paun, L., Nouri, A., Girod, P., Schaller, K. and Tessitore, E. (2020) Role of Robotics in Improving Surgical Outcome in Spinal Pathologies. World Neurosurgery, 140, 664-673. [Google Scholar] [CrossRef] [PubMed]
|
|
[10]
|
Jeong, S. and Lee, B.J. (2025) Advancing Spine Fracture Detection: The Role of Artificial Intelligence in Clinical Practice. Korean Journal of Neurotrauma, 21, 172-182. [Google Scholar] [CrossRef] [PubMed]
|