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Bispectral Index in Patients Undergoing Vertebral Surgery Using Artificial Intelligence Programs: A Methodological Study

NCT07650604 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 63

Last updated 2026-06-24

No results posted yet for this study

Summary

This study aims to interpret the Bispectral Index (BIS) monitoring method, which we routinely use for monitoring in scoliosis surgery, with artificial intelligence (AI) tools and to determine the accuracy and reliability of AI tools in clinical practice by comparing this interpretation with the interpretations of two clinicians experienced in BIS.

Conditions

  • Artifical Intelligence
  • Bispectral Index
  • Spine

Interventions

OTHER

CHATGPT Group

CHATGPT responses

OTHER

GEMİNİ group

GEMİNİ responses

OTHER

COPİLOT group

COPİLOT responses

OTHER

CLINICIAN group

Clinicians responses

Sponsors & Collaborators

  • Antalya Health Sciences University

    lead OTHER

Principal Investigators

  • Tayfun Sugur · University of Health Sciences, Antalya Training and Research Hospital

Eligibility

Min Age
18 Years
Max Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-06-10
Primary Completion
2026-09-10
Completion
2026-12-10

Countries

  • Turkey (Türkiye)

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07650604 on ClinicalTrials.gov