| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
Applications of augmented and virtual reality in spine surgery and education: A review
|
Fourman, Mitchell S.
|
|
|
33 |
2 |
p.
|
article
|
| 2 |
Applying decision curve analysis to spine surgery
|
Fourman, Mitchell S.
|
|
|
33 |
2 |
p.
|
article
|
| 3 |
Contributors to authors
|
|
|
|
33 |
2 |
p.
|
article
|
| 4 |
Deep learning in spine surgery
|
Ghaednia, Hamid
|
|
|
33 |
2 |
p.
|
article
|
| 5 |
Development of predictive algorithms for length of stay greater than one day after one- or two-level anterior cervical discectomy and fusion
|
Karhade, Aditya V.
|
|
|
33 |
2 |
p.
|
article
|
| 6 |
Integration of automated predictive analytics into electronic health records: Can spine surgery applications lead the way using SMART on FHIR and CDS Hooks?
|
Oosterhoff, Jacobien H.F.
|
|
|
33 |
2 |
p.
|
article
|
| 7 |
Introduction
|
Schwab, Joseph H.
|
|
|
33 |
2 |
p.
|
article
|
| 8 |
Machine learning driven tools in orthopaedics and spine surgery: Hype or reality? Applications and perception of 31 physician opinions
|
Lans, Amanda
|
|
|
33 |
2 |
p.
|
article
|
| 9 |
Machine learning in spine surgery: Predictive analytics, imaging applications and next steps
|
Joshi, Rushikesh S.
|
|
|
33 |
2 |
p.
|
article
|
| 10 |
Natural language processing and its role in spine surgery: A narrative review of potentials and challenges
|
Groot, Olivier Q.
|
|
|
33 |
2 |
p.
|
article
|
| 11 |
Spinescope
|
Boden, Scott D.
|
|
|
33 |
2 |
p.
|
article
|
| 12 |
The use of machine learning prediction models in spinal surgical outcome: An overview of current development and external validation studies
|
Ogink, Paul T.
|
|
|
33 |
2 |
p.
|
article
|
Journal description