Artificial intelligence in spine care: current applications and future utility-Reference-Cited by-同舟云学术

Artificial intelligence in spine care: current applications and future utility

Published:2022-03-27 Issue:8 Volume:31 Page:2057-2081
ISSN:0940-6719
Container-title:European Spine Journal
language:en
Short-container-title:Eur Spine J

Author:

Hornung Alexander L.,Hornung Christopher M.,Mallow G. Michael,Barajas J. Nicolás,Rush Augustus,Sayari Arash J.,Galbusera Fabio,Wilke Hans-Joachim,Colman Matthew,Phillips Frank M.,An Howard S.,Samartzis Dino^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Orthopedics and Sports Medicine,Surgery

Link

https://link.springer.com/content/pdf/10.1007/s00586-022-07176-0.pdf

Reference106 articles.

1. Schmidhuber J (2015) Deep learning in neural networks: an overview. Neural Netw 61:85–117

2. Samartzis D, Alini M, An HS et al (2018) Precision spine care: a new era of discovery, innovation, and global impact. Glob Spine J 8:321–322

3. Mallow GM, Siyaji ZK, Galbusera F et al (2021) Intelligence-based spine care model: a new era of research and clinical decision-making. Glob Spine J 11:135–145

4. Langerhuizen DWG, Janssen SJ, Mallee WH et al (2019) What are the applications and limitations of artificial intelligence for fracture detection and classification in orthopaedic trauma imaging? A systematic review. Clin Orthop Relat Res 477:2482–91

5. Ames CP, Smith JS, Pellisé F et al (2019) Artificial intelligence based hierarchical clustering of patient types and intervention categories in adult spinal deformity surgery: towards a new classification scheme that predicts quality and value. Spine 44:915–926

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Applications of artificial intelligence for adolescent idiopathic scoliosis: mapping the evidence;Spine Deformity;2024-08-17

2. Integration of Spinal Musculoskeletal System Parameters for Predicting OVCF in the Elderly: A Comprehensive Predictive Model;Global Spine Journal;2024-08-12

3. A Systematic Review of Machine Learning Models for Predicting Curve Progression in Teenagers With Idiopathic Scoliosis;JOSPT Open;2024-07

4. Preoperative factors predict prolonged length of stay, serious adverse complications, and readmission following operative intervention of proximal humerus fractures: a machine learning analysis of a national database;JSES International;2024-07

5. Utilizing a comprehensive machine learning approach to identify patients at high risk for extended length of stay following spinal deformity surgery in pediatric patients with early onset scoliosis;Spine Deformity;2024-05-03