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 Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.9K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.9K

You might also read

Related Articles

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

Sort by
Same author

Precursor characteristics of rock bursts in chain pillars based on microseismic monitoring.

Scientific reports·2026
Same author

Sulfur-Mediated Synthesis of Indole-Fused Medium-Sized Rings.

Organic letters·2026
Same author

Self-Assembling Hybrid Hydrogel Reprograms the Stromal Vascular Fraction to Treat Osteoarthritis.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Discovery of Kinesin KIF18A Inhibitor ATX020: Tactical Application of Silicon Atom Replacement.

ACS medicinal chemistry letters·2025
Same author

Transition metal-free hydrogenative coupling of nitroarenes mediated with dihydropyridine: chemoselective formation of aromatic azoxy, azo, hydrazine and phenazine.

RSC advances·2025
Same author

Bibliometric analysis of the application of artificial intelligence in orthopedic imaging.

Quantitative imaging in medicine and surgery·2025

Related Experiment Video

Updated: Sep 18, 2025

A Teleoperated Robotic System-Assisted Percutaneous Transiliac-Transsacral Screw Fixation Technique
05:57

A Teleoperated Robotic System-Assisted Percutaneous Transiliac-Transsacral Screw Fixation Technique

Published on: January 6, 2023

2.5K

Artificial Intelligence in Orthopedic Surgery: Current Applications, Challenges, and Future Directions.

Fei Han1,2, Xiao Huang1,3, Xin Wang1,3

  • 1Department of Orthopedics Xijing Hospital Air Force Medical University Xi'an China.

Medcomm
|June 26, 2025
PubMed
Summary

Artificial intelligence (AI) is revolutionizing orthopedic surgery with intelligent applications for enhanced precision and personalization. This review critically analyzes AI advancements, challenges, and future directions for improved clinical translation.

Keywords:
artificial intelligencedeep learningmultimodal data fusionorthopedic surgeryrobot‐assisted surgery

More Related Videos

The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report
07:45

The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report

Published on: August 4, 2022

3.5K
Mixed Reality Assisted Radical Endoscopic Thyroidectomy
08:06

Mixed Reality Assisted Radical Endoscopic Thyroidectomy

Published on: January 31, 2025

412

Related Experiment Videos

Last Updated: Sep 18, 2025

A Teleoperated Robotic System-Assisted Percutaneous Transiliac-Transsacral Screw Fixation Technique
05:57

A Teleoperated Robotic System-Assisted Percutaneous Transiliac-Transsacral Screw Fixation Technique

Published on: January 6, 2023

2.5K
The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report
07:45

The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report

Published on: August 4, 2022

3.5K
Mixed Reality Assisted Radical Endoscopic Thyroidectomy
08:06

Mixed Reality Assisted Radical Endoscopic Thyroidectomy

Published on: January 31, 2025

412

Area of Science:

  • Orthopedic Surgery
  • Medical Artificial Intelligence
  • Surgical Robotics

Background:

  • Artificial intelligence (AI) is increasingly integrated into orthopedic surgery, offering potential for enhanced precision and personalization.
  • Key enabling technologies include deep learning, robotics, and multimodal data fusion, which have demonstrated significant advantages.
  • Despite progress, challenges persist, including limited real-time decision autonomy, data fragmentation, standardization issues, and evolving ethical/regulatory landscapes.

Purpose of the Study:

  • To systematically review the current advancements, challenges, and future directions of AI in orthopedic surgery.
  • To analyze AI applications across the surgical continuum, from preoperative planning to postoperative monitoring.
  • To provide a framework for technical translation and guide interdisciplinary collaboration.

Main Methods:

  • Systematic literature review of AI applications in orthopedic surgery.
  • Analysis of technical, clinical, and ethical perspectives on AI integration.
  • Elaboration of the "perceptual-decisional-executional" intelligent closed loop.
  • Introduction of an "algorithm-hardware-ethics trinity" framework for clinical translation.

Main Results:

  • AI demonstrates significant advantages in preoperative planning, intraoperative assistance, and postoperative rehabilitation/monitoring.
  • Identified challenges include data silos, standardization gaps, and regulatory hurdles.
  • The review outlines an integrated approach to AI applications and proposes a framework for successful clinical translation.

Conclusions:

  • AI holds transformative potential for orthopedic surgery, driving precision and personalization.
  • Addressing current challenges is crucial for accelerating AI's clinical translation and realizing its full benefits.
  • Further research and interdisciplinary collaboration are essential for advancing AI in orthopedics.