| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A meta-analysis of the diagnostic accuracy of Hounsfield units on computed topography relative to dual-energy X-ray absorptiometry for the diagnosis of osteoporosis in the spine surgery population
|
Ahern, Daniel P.
|
|
|
21 |
10 |
p. 1738-1749
|
artikel
|
| 2 |
Artificial intelligence and spine: rise of the machines
|
Martin, Brook I.
|
|
|
21 |
10 |
p. 1604-1605
|
artikel
|
| 3 |
Artificial intelligence for adult spinal deformity: current state and future directions
|
Joshi, Rushikesh S.
|
|
|
21 |
10 |
p. 1626-1634
|
artikel
|
| 4 |
Augmented and virtual reality in spine surgery, current applications and future potentials
|
Ghaednia, Hamid
|
|
|
21 |
10 |
p. 1617-1625
|
artikel
|
| 5 |
Burden of preoperative opioid use and its impact on healthcare utilization after primary single level lumbar discectomy
|
Jain, Nikhil
|
|
|
21 |
10 |
p. 1700-1710
|
artikel
|
| 6 |
Comparison of interventions for lumbar disc herniation: a systematic review with network meta-analysis
|
Rickers, Kresten Wendell
|
|
|
21 |
10 |
p. 1750-1762
|
artikel
|
| 7 |
Computed tomography comparison study of two Axis-based C1 transpedicular screw trajectory designs
|
He, Hongwei
|
|
|
21 |
10 |
p. 1763-1771
|
artikel
|
| 8 |
Decision curve analysis to evaluate the clinical benefit of prediction models
|
Vickers, Andrew J.
|
|
|
21 |
10 |
p. 1643-1648
|
artikel
|
| 9 |
Development of machine learning and natural language processing algorithms for preoperative prediction and automated identification of intraoperative vascular injury in anterior lumbar spine surgery
|
Karhade, Aditya V.
|
|
|
21 |
10 |
p. 1635-1642
|
artikel
|
| 10 |
Editorial Board
|
|
|
|
21 |
10 |
p. A1
|
artikel
|
| 11 |
Endplate volumetric bone mineral density is a predictor for cage subsidence following lateral lumbar interbody fusion: a risk factor analysis
|
Jones, Conor
|
|
|
21 |
10 |
p. 1729-1737
|
artikel
|
| 12 |
Fostering reproducibility and generalizability in machine learning for clinical prediction modeling in spine surgery
|
Azad, Tej D.
|
|
|
21 |
10 |
p. 1610-1616
|
artikel
|
| 13 |
International external validation of the SORG machine learning algorithms for predicting 90-day and one-year survival of patients with spine metastases using a Taiwanese cohort
|
Yang, Jiun-Jen
|
|
|
21 |
10 |
p. 1670-1678
|
artikel
|
| 14 |
Introduction to The Spine Journal special issue on artificial intelligence and machine learning
|
Karhade, Aditya V.
|
|
|
21 |
10 |
p. 1601-1603
|
artikel
|
| 15 |
Longer operative time associated with prolonged length of stay, non-home discharge and transfusion requirement after anterior cervical discectomy and fusion: an analysis of 24,593 cases
|
Rajan, Prashant V.
|
|
|
21 |
10 |
p. 1718-1728
|
artikel
|
| 16 |
Machine learning algorithms for prediction of health-related quality-of-life after surgery for mild degenerative cervical myelopathy
|
Khan, Omar
|
|
|
21 |
10 |
p. 1659-1669
|
artikel
|
| 17 |
Meetings Calendar
|
|
|
|
21 |
10 |
p. 1772
|
artikel
|
| 18 |
Predictive modeling of long-term opioid and benzodiazepine use after intradural tumor resection
|
Jin, Michael C.
|
|
|
21 |
10 |
p. 1687-1699
|
artikel
|
| 19 |
Radiographic spine adipose index: an independent risk factor for deep surgical site infection after posterior instrumented lumbar fusion
|
Gupta, Vikesh Kumar
|
|
|
21 |
10 |
p. 1711-1717
|
artikel
|
| 20 |
Sharpening the resolution on data matters: a brief roadmap for understanding deep learning for medical data
|
Schmaltz, Allen
|
|
|
21 |
10 |
p. 1606-1609
|
artikel
|
| 21 |
SMART on FHIR in spine: integrating clinical prediction models into electronic health records for precision medicine at the point of care
|
Karhade, Aditya V.
|
|
|
21 |
10 |
p. 1649-1651
|
artikel
|
| 22 |
Table of Contents
|
|
|
|
21 |
10 |
p. A3-A6
|
artikel
|
| 23 |
Updated external validation of the SORG machine learning algorithms for prediction of ninety-day and one-year mortality after surgery for spinal metastasis
|
Shah, Akash A.
|
|
|
21 |
10 |
p. 1679-1686
|
artikel
|
| 24 |
Using artificial intelligence to diagnose fresh osteoporotic vertebral fractures on magnetic resonance images
|
Yabu, Akito
|
|
|
21 |
10 |
p. 1652-1658
|
artikel
|
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