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: Jun 23, 2026

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

Artificial Intelligence and Robotics in General Surgery: Opportunities and Challenges.

Sepehr Seifi1, Hadi Sahrai2, Negin Safari Dehnavi3

  • 1Department of Surgery, Arkansas College of Osteopathic Medicine, Fort Smith, USA.

Cureus
|June 22, 2026
PubMed
Summary

Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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...

You might also read

Related Articles

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

Sort by
Same author

Exploring the Role of Long Non-Coding RNAs in Mediating Cisplatin Resistance in Glioma/Glioblastoma Cells.

International journal of molecular sciences·2026
Same author

Impact of Complicated Diabetes Mellitus in Patients Following Severe Traumatic Brain Injury.

Neurocritical care·2026
Same author

Radiologic factors in thoracolumbar burst fractures with versus without neurologic deficit: a systematic review and meta-analysis.

Spinal cord·2026
Same author

The Global Burden of Aortic Aneurysm and Its Attributable Risk Factors, 1990-2021: Results from the Global Burden of Disease Study 2021.

Health science reports·2026
Same author

The emerging role of the meningeal lymphatic and glymphatic systems in migraine pathophysiology: a systematic review.

The journal of headache and pain·2026
Same author

Primary Hyperparathyroidism Due to Parathyroid Adenoma in a Post-Kidney Transplant Patient With Lupus Nephritis: A Case Report.

Cureus·2026

Artificial intelligence (AI) and robotics are transforming surgery from planning to recovery. While AI enhances preoperative risk prediction and intraoperative precision, challenges like data bias and regulatory hurdles remain for full adoption.

Area of Science:

  • Surgical Innovation
  • Medical Technology
  • Artificial Intelligence in Medicine

Background:

  • Robotic surgery systems have evolved significantly from early teleoperated designs to sophisticated platforms like da Vinci Xi and SP.
  • Artificial intelligence (AI) is increasingly integrated into various stages of the surgical process, from preoperative planning to postoperative care.

Purpose of the Study:

  • To provide a narrative review of the historical development and current applications of robotics and AI in general surgery.
  • To examine the impact of AI across the entire perioperative continuum: preoperative, intraoperative, and postoperative phases.
  • To identify current challenges and future directions for AI and robotic integration in surgical practice.

Main Methods:

  • This review synthesitsizes existing literature on surgical robotics and AI applications in surgery.
Keywords:
artificial intelligencedeep learninggeneral surgeryintraoperative decision supportmachine learningperioperative carepostoperative complicationspreoperative risk predictionrobotic surgerysurgical robotics

Related Experiment Videos

Last Updated: Jun 23, 2026

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

  • It traces the historical trajectory of surgical robotics and analyzes current AI implementations in different surgical phases.
  • Key AI applications discussed include machine learning for risk prediction, deep learning for imaging, AI for intraoperative task automation, and AI in postoperative monitoring.

    • Main Results:

    • AI models demonstrate superior prediction of postoperative complications compared to traditional scores.
    • Deep learning enhances diagnostic accuracy in medical imaging (CT, MRI) for tumor detection and surgical planning.
    • Intraoperative AI tools improve procedural step recognition (85-95% accuracy), safety assessments, and robotic system stability.
    • Postoperative AI facilitates early complication detection (e.g., sepsis, DVT) and refines personalized care protocols.

    Conclusions:

    • AI currently serves as a crucial decision-support tool in surgery, not an autonomous agent.
    • Widespread clinical adoption necessitates addressing challenges such as dataset bias, model interpretability, data privacy, and regulatory frameworks.
    • Future advancements require multi-institutional data, enhanced model transparency, and clear regulatory guidelines for AI in surgery.