404 related articles for article (PubMed ID: 37866485)
1. Predicting postoperative outcomes in lumbar spinal fusion: development of a machine learning model.
Schönnagel L; Caffard T; Vu-Han TL; Zhu J; Nathoo I; Finos K; Camino-Willhuber G; Tani S; Guven AE; Haffer H; Muellner M; Arzani A; Chiapparelli E; Amoroso K; Shue J; Duculan R; Pumberger M; Zippelius T; Sama AA; Cammisa FP; Girardi FP; Mancuso CA; Hughes AP
Spine J; 2024 Feb; 24(2):239-249. PubMed ID: 37866485
[TBL] [Abstract][Full Text] [Related]
2. Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
Anderson AB; Grazal CF; Balazs GC; Potter BK; Dickens JF; Forsberg JA
Clin Orthop Relat Res; 2020 Jul; 478(7):0-1618. PubMed ID: 32282466
[TBL] [Abstract][Full Text] [Related]
3. Predicting conversion of ambulatory ACDF patients to inpatient: a machine learning approach.
Schönnagel L; Tani S; Vu-Han TL; Zhu J; Camino-Willhuber G; Dodo Y; Caffard T; Chiapparelli E; Oezel L; Shue J; Zelenty WD; Lebl DR; Cammisa FP; Girardi FP; Sokunbi G; Hughes AP; Sama AA
Spine J; 2024 Apr; 24(4):563-571. PubMed ID: 37980960
[TBL] [Abstract][Full Text] [Related]
4. Development and Validation of Machine Learning Algorithms for Predicting Adverse Events After Surgery for Lumbar Degenerative Spondylolisthesis.
Fatima N; Zheng H; Massaad E; Hadzipasic M; Shankar GM; Shin JH
World Neurosurg; 2020 Aug; 140():627-641. PubMed ID: 32344139
[TBL] [Abstract][Full Text] [Related]
5. Prediction of Major Complications and Readmission After Lumbar Spinal Fusion: A Machine Learning-Driven Approach.
Shah AA; Devana SK; Lee C; Bugarin A; Lord EL; Shamie AN; Park DY; van der Schaar M; SooHoo NF
World Neurosurg; 2021 Aug; 152():e227-e234. PubMed ID: 34058366
[TBL] [Abstract][Full Text] [Related]
6. Functional outcomes correlate with sagittal spinal balance in degenerative lumbar spondylolisthesis surgery.
Thornley P; Urquhart JC; Glennie A; Rampersaud R; Fisher C; Abraham E; Charest-Morin R; Dea N; Kwon BK; Manson N; Hall H; Paquette S; Street J; Siddiqi F; Rasoulinejad P; Bailey CS
Spine J; 2023 Oct; 23(10):1512-1521. PubMed ID: 37307882
[TBL] [Abstract][Full Text] [Related]
7. Application of machine learning model in predicting the likelihood of blood transfusion after hip fracture surgery.
Chen X; Pan J; Li Y; Tang R
Aging Clin Exp Res; 2023 Nov; 35(11):2643-2656. PubMed ID: 37733228
[TBL] [Abstract][Full Text] [Related]
8. Mid-term changes in spinopelvic sagittal alignment in lumbar spinal stenosis with coexisting degenerative spondylolisthesis or scoliosis after minimally invasive lumbar decompression surgery: minimum five-year follow-up.
Salimi H; Toyoda H; Terai H; Yamada K; Hoshino M; Suzuki A; Takahashi S; Tamai K; Hori Y; Yabu A; Nakamura H
Spine J; 2022 May; 22(5):819-826. PubMed ID: 34813957
[TBL] [Abstract][Full Text] [Related]
9. Factors influencing the long-term outcomes of instrumentation surgery for degenerative lumbar spondylolisthesis: a post-hoc analysis of a prospective randomized study.
Inose H; Kato T; Matsukura Y; Hirai T; Yoshii T; Kawabata S; Takahashi K; Okawa A
Spine J; 2023 Jun; 23(6):799-804. PubMed ID: 36774998
[TBL] [Abstract][Full Text] [Related]
10. Evaluation of the Predictors for Unfavorable Clinical Outcomes of Degenerative Lumbar Spondylolisthesis After Lumbar Interbody Fusion Using Machine Learning.
Dong S; Zhu Y; Yang H; Tang N; Huang G; Li J; Tian K
Front Public Health; 2022; 10():835938. PubMed ID: 35309190
[TBL] [Abstract][Full Text] [Related]
11. A decision tree analysis to predict clinical outcome of minimally invasive lumbar decompression surgery for lumbar spinal stenosis with and without coexisting spondylolisthesis and scoliosis.
Toyoda H; Terai H; Yamada K; Kato M; Suzuki A; Takahashi S; Tamai K; Yabu A; Iwamae M; Sawada Y; Nakamura H
Spine J; 2023 Jul; 23(7):973-981. PubMed ID: 36739978
[TBL] [Abstract][Full Text] [Related]
12. Can Machine-learning Algorithms Predict Early Revision TKA in the Danish Knee Arthroplasty Registry?
El-Galaly A; Grazal C; Kappel A; Nielsen PT; Jensen SL; Forsberg JA
Clin Orthop Relat Res; 2020 Sep; 478(9):2088-2101. PubMed ID: 32667760
[TBL] [Abstract][Full Text] [Related]
13. A Simple Preoperative Score Predicting Failure Following Decompression Surgery for Degenerative Lumbar Spinal Stenosis.
Dimitriou D; Winkler E; Weber S; Haupt S; Betz M; Farshad M
Spine (Phila Pa 1976); 2023 May; 48(9):610-616. PubMed ID: 36728033
[TBL] [Abstract][Full Text] [Related]
14. Patients with predominantly back pain at the time of lumbar fusion for low-grade spondylolisthesis experience similar clinical improvement to patients with predominantly leg pain: mid-term results.
Khan JM; Harada GK; Basques BA; Nolte MT; Louie PK; Iloanya M; Tchalukov K; Berkowitz M; Derman P; Colman M; An HS
Spine J; 2020 Feb; 20(2):276-282. PubMed ID: 31563578
[TBL] [Abstract][Full Text] [Related]
15. Sagittally Balanced Degenerative Spondylolisthesis Patients With Increased Sacral Slope and Greater Lumbar Lordosis Experience Less Back Pain After Short-Segment Lumbar Fusion Surgery.
Liow MHL; Goh GS; Chua JL; Ling ZM; Soh RCC; Guo CM; Tan SB; Chen JL
Clin Spine Surg; 2020 Jun; 33(5):E231-E235. PubMed ID: 31913174
[TBL] [Abstract][Full Text] [Related]
16. Lumbar degenerative disease after oblique lateral interbody fusion: sagittal spinopelvic alignment and its impact on low back pain.
Li J; Zhang D; Shen Y; Qi X
J Orthop Surg Res; 2020 Aug; 15(1):326. PubMed ID: 32795374
[TBL] [Abstract][Full Text] [Related]
17. Machine learning-based preoperative predictive analytics for lumbar spinal stenosis.
Siccoli A; de Wispelaere MP; Schröder ML; Staartjes VE
Neurosurg Focus; 2019 May; 46(5):E5. PubMed ID: 31042660
[TBL] [Abstract][Full Text] [Related]
18. Can a machine learning model accurately predict patient resource utilization following lumbar spinal fusion?
Karnuta JM; Golubovsky JL; Haeberle HS; Rajan PV; Navarro SM; Kamath AF; Schaffer JL; Krebs VE; Pelle DW; Ramkumar PN
Spine J; 2020 Mar; 20(3):329-336. PubMed ID: 31654809
[TBL] [Abstract][Full Text] [Related]
19. Should patients with lumbar stenosis and grade I spondylolisthesis be treated differently based on spinopelvic alignment? A retrospective, two-year, propensity matched, comparison of patient-reported outcome measures and clinical outcomes from multiple sites within a single health system.
Mohanty S; Barchick S; Kadiyala M; Lad M; Rouhi AD; Vadali C; Albayar A; Ozturk AK; Khalsa A; Saifi C; Casper DS
Spine J; 2023 Jan; 23(1):92-104. PubMed ID: 36064091
[TBL] [Abstract][Full Text] [Related]
20. Surgical outcomes between posterior decompression alone and posterior decompression with fusion surgery among patients with Meyerding grade 2 degenerative spondylolisthesis: a multicenter cohort study.
Tozawa K; Matsubayashi Y; Kato S; Doi T; Taniguchi Y; Kumanomido Y; Higashikawa A; Yosihida Y; Kawamura N; Sasaki K; Azuma S; Yu J; Hara N; Iizuka M; Ono T; Fukushima M; Takeshita Y; Tanaka S; Oshima Y
BMC Musculoskelet Disord; 2022 Oct; 23(1):902. PubMed ID: 36209211
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
