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NCT06416631Not yet recruiting

Artificial Intelligence Versus Maunal Planning in Robot Assisted Spinal Surgery

Artificial Intelligence Versus Manual Planning in Patients Undergoing Robot-assisted Pedicle Screw Internal Fixation: a Prospective Controlled Study
Beijing Jishuitan HospitalClinicalTrials.govprocedure
Verified
Study focus
Disease/Condition
Surgery
Drug/Device/Intervention
artificial intelligence based screw planning
Study type
Interventional
Intervention type
procedure
Sponsor & location
Primary sponsor
Beijing Jishuitan Hospital
Timeline & enrollment
Phase
N/A
Start date
May 25, 2024
End date
May 01, 2026
Enrollment
100 participants
Primary outcome

The accuracy of screw positioning or placement

Summary

The goal of this clinical trial is to learn if the artificial intelligence technology helps
 to improve the efficiency in robot assited spinal surgery. The main questions it aims to
 answer are:
 
 Does the AI technology shorter the mannual planning time of screw trajectories？ Does the AI
 technology affect the surgical accuracy？ Researchers will compare the artificial intelligence
 technology to the conventional mannual planning in robotic surgery.
 
 Participants who met inclusion criteria and do not have any exclusion criterion will be
 randomized to artificial intelligence or mannual planning group.

ICD-10 classifications
Other surgical proceduresSurgical procedure, unspecifiedDuring surgical operationDuring surgical operationDuring surgical operation
Data source
Registry
ClinicalTrials.gov
Trial ID
NCT06416631
Type
Non-Device Trial
About this record

Access comprehensive clinical trial information for NCT06416631 through Pure Global AI's free database. This phase not specified trial is sponsored by Beijing Jishuitan Hospital and is currently Not yet recruiting. The study focuses on Surgery. Target enrollment is 100 participants.

This page provides complete trial specifications, intervention details, outcomes, and location information. Pure Global AI offers free access to ClinicalTrials.gov data, helping medical device and pharmaceutical companies navigate clinical research efficiently.