Bispectral Index in Patients Undergoing Vertebral Surgery Using Artificial Intelligence Programs: A Methodological Study
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: CHATGPT Group, GEMİNİ group, COPİLOT group, CLINICIAN group.
- Who it may be relevant to
- Registry conditions: Artifical Intelligence, Bispectral Index, Spine. Basic parameters: 18 years — 65 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Turkey (Türkiye)
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
INTERPRETATION AND EVULATION OF THE PROXIMITY TO CLINICAL EXPERIENCE OF BISPECTRAL INDEX (BIS) IN PATIENTS UNDERGOİNG VERTEBRAL SURGERY USING ARTIFICIAL INTELLIGENCE PROGRAMS: A METHODOLOGICAL STUDY
Overview
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.
Detailed description
The Bispectral Index (BIS) is an FDA-approved method for monitoring the depth of anesthesia. BIS combines time-domain, frequency-domain, and bispectral analysis of electroencephalography and is displayed as a dimensionless number between 0 (deep anesthesia) and 100 (awake); a value between 40 and 60 is suitable for surgical anesthesia. BIS shows good correlation with hypnotic state and anesthetic drug concentration, and its use can shorten recovery times. Recently, the use of artificial intelligence (AI) tools (Gemini 3.1, ChatCPT 5.5, Copilot 365 Premium) has become widespread in all fields. However, in the medical literature, there are only a limited number of recent studies that aim to enable emergency intervention in patients, increase clinical use, and obtain advice even if treatment recommendations are not available. Therefore, this study aims to interpret the BIS monitoring method, which we routinely use for monitoring in scoliosis surgery, with 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.
Interventions
- Other CHATGPT Group
CHATGPT responses - Other GEMİNİ group
GEMİNİ responses - Other COPİLOT group
COPİLOT responses - Other CLINICIAN group
Clinicians responses
Primary outcome measures
- Clinical Experience [Time frame: 12 hours]
Eligibility criteria
Inclusion criteria
- elective vertebra surgery
- aged 18-65
- ASA score I-III
- BMI <30 kg/m2
Exclusion criteria
- patient's refusal
- BMI >30 kg/m2
- serious liver or kidney disease
- ASA 4 ve more
- anatomical abnormality at probe site
- history of mental or neurological disease,
- history of previous intracranial aneurysm or intracranial tumor surgery
- history of moderate or severe pulmonary disease,
- emergency surgery
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Other
Study locations
Turkey (Türkiye) · 1 center
- University of Health Sciences, Antalya Training and Research Hospital — Antalya
Identifiers
NCT: NCT07650604 · 9/3