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Updated: Dec 10, 2025

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement

Published on: May 11, 2020

Artificial Intelligence and Robotics in Spine Surgery.

Jonathan J Rasouli¹, Jianning Shao¹, Sean Neifert²

¹2569Cleveland Clinic, Cleveland, OH, USA.

Global Spine Journal

|September 3, 2020

Summary

This summary is machine-generated.

Artificial intelligence (AI) and machine learning (ML) are transforming spine surgery by improving patient selection, research, and surgical performance. These technologies offer potential for enhanced preoperative, perioperative, and intraoperative care.

Keywords:

artificial intelligence machine learning radiology review robotic spine surgery spine surgery

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Area of Science:

Spine Surgery
Artificial Intelligence
Machine Learning

Background:

Artificial intelligence (AI) and machine learning (ML) are emerging as transformative technologies in clinical decision-making for spine surgery.
AI applications span preoperative patient assessment, outcome prediction, research enhancement, perioperative optimization, and intraoperative performance improvement.

Purpose of the Study:

To review and analyze current trends and applications of AI and ML in conventional and robotic-assisted spine surgery.
To discuss the potential impact of AI and ML on various aspects of spine care delivery.

Main Methods:

A comprehensive literature search of PubMed was conducted for articles published between 2006 and 2019.
Articles focused on AI, ML, and robotics in spine surgery were identified, and key findings were compiled.

Main Results:

The majority of AI literature in spine surgery focuses on predictive analytics and radiographic image recognition.
Early studies show AI/ML use in the perioperative setting with small patient cohorts; larger trials are pending.

Conclusions:

AI holds significant potential to revolutionize spine care, aiding in preoperative patient selection, surgical indications, and personalized postoperative management.
Robotic-assisted surgery, though nascent, may reduce surgeon fatigue and enhance technical precision.