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

Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-65
SponsorAntalya Health Sciences University

About this trial

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.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

elective vertebra surgery

aged 18-65

ASA score I-III

BMI <30 kg/m2

Disqualifiers

patient's refusal

BMI >30 kg/m2

serious liver or kidney disease

ASA 4 ve more

Trial population

Patients aged 18-65 years with ASA scores I-III and BMI \<30 kg/m2 who are scheduled for elective vertebra surgery will be included.

Trial design

Design model

Other

Time perspective

Prospective

Treatments tested in this trial

  • CHATGPT Group

    Other intervention

    CHATGPT responses

  • GEMİNİ group

    Other intervention

    GEMİNİ responses

  • COPİLOT group

    Other intervention

    COPİLOT responses

  • CLINICIAN group

    Other intervention

    Clinicians responses

Treatment groups

63 Participants
are divided into 4 treatment groups
Group A: CHATGPT Group1 intervention
Group B: GEMİNİ Group1 intervention
Group C: COPİLOT Group1 intervention
Group D: CLINICIAN Group1 intervention

Trial outcomes

Primary outcomes

1

Clinical Experience

The proximity of AI programs to the clinical experience. The study will examine the percentage of times AI programs' interpretations and intervention recommendations regarding information processing stimulus (ISIS) are identical to those of two clinical practitioners.

Time frame
12 hours

Secondary outcomes

Other outcomes

Sponsors and contacts

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This trial is not recruiting at the moment. You can still explore other options: