Artifical Intelligence, Bispectral Index, Spine
Conditions
Keywords
artificial intelligence, bispectral index, vertebra surgery
Brief 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.
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
OTHERCHATGPT Group
CHATGPT responses
OTHERGEMİNİ group
GEMİNİ responses
OTHERCOPİLOT group
COPİLOT responses
OTHERCLINICIAN group
Clinicians responses
Sponsors
Antalya Health Sciences University
Study design
Observational model
OTHER
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 65 Years
Healthy volunteers
No
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Clinical Experience | 12 hours | 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. |
Countries
Turkey (Türkiye)
Contacts
CONTACTTayfun Sugur, specialezed
PRINCIPAL_INVESTIGATORTayfun Sugur
University of Health Sciences, Antalya Training and Research Hospital
Outcome results
None listed