Artificial intelligence-driven prediction modeling and decision making in spine surgery using hybrid machine learning models
Healthcare systems worldwide generate vast amounts of data from many different sources.
Although of high complexity for a human being, it is essential to determine the patterns and …
Although of high complexity for a human being, it is essential to determine the patterns and …
Artificial intelligence and machine learning in spine research
Artificial intelligence (AI) and machine learning (ML) techniques are revolutionizing several
industrial and research fields like computer vision, autonomous driving, natural language …
industrial and research fields like computer vision, autonomous driving, natural language …
The role of machine learning in spine surgery: the future is now
The recent influx of machine learning centered investigations in the spine surgery literature
has led to increased enthusiasm as to the prospect of using artificial intelligence to create …
has led to increased enthusiasm as to the prospect of using artificial intelligence to create …
Artificial intelligence in spine care: current applications and future utility
Purpose The field of artificial intelligence is ever growing and the applications of machine
learning in spine care are continuously advancing. Given the advent of the intelligence …
learning in spine care are continuously advancing. Given the advent of the intelligence …
Artificial intelligence, osteoporosis and fragility fractures
U Ferizi, S Honig, G Chang - Current opinion in rheumatology, 2019 - journals.lww.com
New methods for automatic image segmentation, and prediction of fracture risk show
promising clinical value. Though these recent developments have had a successful initial …
promising clinical value. Though these recent developments have had a successful initial …
Current applications of machine learning in spine: from clinical view
GR Ren, K Yu, ZY **e, PY Wang… - Global Spine …, 2022 - journals.sagepub.com
Study Design: Narrative review. Objectives: This review aims to present current applications
of machine learning (ML) in spine domain to clinicians. Methods: We conducted a …
of machine learning (ML) in spine domain to clinicians. Methods: We conducted a …
Design and implementation of bank CRM system based on decision tree algorithm
C Chen, L Geng, S Zhou - Neural Computing and Applications, 2021 - Springer
With the rapid development of the national economy, the level of informationization and
office automation of banks has gradually increased. At the same time, with the development …
office automation of banks has gradually increased. At the same time, with the development …
The application of artificial intelligence in spine surgery
S Zhou, F Zhou, Y Sun, X Chen, Y Diao, Y Zhao… - Frontiers in …, 2022 - frontiersin.org
Due to its obvious advantages in processing big data and image information, the
combination of artificial intelligence and medical care may profoundly change medical …
combination of artificial intelligence and medical care may profoundly change medical …
Biomechanical comparison of pedicle screw fixation strength among three different screw trajectories using single vertebrae and one-level functional spinal unit
CL Tai, WP Chen, MY Liu, YD Li, TT Tsai… - … in Bioengineering and …, 2022 - frontiersin.org
Three key factors are responsible for the biomechanical performance of pedicle screw
fixation: screw mechanical characteristics, bone quality and insertion techniques. To the best …
fixation: screw mechanical characteristics, bone quality and insertion techniques. To the best …
Biomechanical evaluation of a short-rod technique for lumbar fixation surgery
ZB Huang, MD Nie, NZ Zhang, S Liu… - … in Bioengineering and …, 2022 - frontiersin.org
Objective: The purpose of this study was to analyze the stability and instrument-related
complications associated with fixation of the lumbar spine using the Short-Rod (SR) …
complications associated with fixation of the lumbar spine using the Short-Rod (SR) …