Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Nov 2, 2025

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement
06:24

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement

Published on: May 11, 2020

9.1K

The State of Machine Learning in Spine Surgery: A Systematic Review.

Edward M DelSole1, Wyatt L Keck2, Aalpen A Patel3

  • 1Department of Orthopaedic Surgery, Division of Spine Surgery, Geisinger Musculoskeletal Institute.

Clinical Spine Surgery
|June 14, 2021
PubMed
Summary

Machine learning shows diverse applications in spine surgery, from diagnostics to decision support. However, significant variations in algorithms and data highlight the need for further research to enable large-scale clinical implementation.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Correction: Effect of low-dose propofol infusion with sevoflurane versus propofol-only total intravenous anesthesia on postoperative nausea and vomiting in high-risk patients: a single-blind randomized controlled clinical trial.

BMC anesthesiology·2026
Same author

Effect of low-dose propofol infusion with sevoflurane versus propofol-only total intravenous anesthesia on postoperative nausea and vomiting in high-risk patients: a single-blind randomized controlled clinical trial.

BMC anesthesiology·2026
Same author

Practical applications of three-dimensional printing for process improvement in the cytopathology laboratory.

Cancer cytopathology·2023
Same author

Patterns of Misdiagnosis and Discordance in Detecting Osteoporosis: A Comparison of Dual-energy X-ray Absorptiometry and Lumbar Computed Tomography Hounsfield Units.

Clinical spine surgery·2023
Same author

Patient Perspectives on Artificial Intelligence in Healthcare Decision Making: A Multi-Center Comparative Study.

Indian journal of orthopaedics·2023
Same author

Physician Perspectives on Telemedicine at an Integrated Health System During the COVID-19 Pandemic.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association·2023

Area of Science:

  • Spine Surgery
  • Machine Learning Applications
  • Medical Informatics

Background:

  • Machine learning (ML) has seen increasing clinical use across various medical fields.
  • While ML has been applied to spine surgery, comprehensive reviews of its literature are scarce.

Purpose of the Study:

  • To evaluate current trends and utilization of machine learning in spine surgery.
  • To synthesize the existing body of scientific literature on ML in clinical spine surgery.

Main Methods:

  • Systematic review using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology.
  • Literature search from 2009-2019 focusing on machine learning and spine surgery.
  • Extraction of data on algorithm application, types, databases, training methods, and outcomes.

More Related Videos

Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model
06:18

Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model

Published on: May 24, 2024

2.4K

Related Experiment Videos

Last Updated: Nov 2, 2025

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement
06:24

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement

Published on: May 11, 2020

9.1K
Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model
06:18

Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model

Published on: May 24, 2024

2.4K

Main Results:

  • 44 studies met inclusion criteria, mostly Level III evidence.
  • Studies covered diagnostic tools, outcome prediction, surgical assessment, and decision support.
  • Diverse algorithms and databases were used; no studies addressed ethical implementation or patient perceptions.

Conclusions:

  • Machine learning has a wide range of applications in spine surgery.
  • Disparities in algorithms, databases, and training methods were noted.
  • Further research is necessary for large-scale operationalization of ML in spine surgery.