Preoperative Anesthesia AssesmentNCT07783334
AI Assisted Preoperative Assessment for ASA Classification and ICU Admission
An observational study of Preoperative Anesthesia Assesment, run by Bakirkoy Dr. Sadi Konuk Research and Training Hospital at 1 site in Turkey (Türkiye).
Trial summary
This prospective observational study evaluates the performance of artificial intelligence (AI) models in preoperative anesthesia assessment. Preoperative clinical data from adult patients undergoing elective surgery are independently evaluated by clinicians and AI models (ChatGPT and Gemini). Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Preoperative Anesthesia Assesment
- What is being tested?
- AI-assisted preoperative assesment
- How many people
- 2,500 participants
- Where
- 1 siteTurkey (Türkiye)
- Study dates
- 16 Feb 2026to 20 Aug 2026
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: Adult patients undergoing elective surgery who are evaluated in the preoperative anesthesia clinic at Bakirkoy Dr. Sadi Konuk Research and Training Hospital.
Who may be able to join
- Age 18 years or older
- Scheduled for elective surgery
- Evaluated in the preoperative anesthesia clinic
- Provision of informed consent
Who cannot join
- Pregnancy
- Presence of an upper respiratory tract infection
- Active herpes infection or active wound and/or lesion in the anesthesia-related area
- Age under 18 years
- Emergency surgery
- Planned cardiovascular surgery
- Incomplete clinical data
Trial locations and contacts
1 site in 1 country.
Turkey (Türkiye)1 site
Bakırköy Dr. Sadi Konuk Training and Research Hospital
Istanbul, Istanbul, 34147
About this study
Official title: AI Assisted Clinical Decision-making in Preoperative Anesthesia Assessment: a Comparision of Clinicians, ChatGPT and Gemini
This prospective observational study evaluates the performance of artificial intelligence (AI) models in preoperative anesthesia assessment. Preoperative clinical data from adult patients undergoing elective surgery are independently evaluated by clinicians and AI models (ChatGPT and Gemini). The study compares their assessments of American Society of Anesthesiologists (ASA) physical status classification and the predicted need for intensive care unit (ICU) admission within the first 24 hours after surgery. Actual postoperative ICU admission is used as the clinical outcome for evaluating predictive performance. No treatment or clinical decision is determined by the AI models, and patient management is performed according to routine clinical practice.
- Conditions
- Preoperative Anesthesia Assesment
- Being tested
- AI-assisted preoperative assesment
- Keywords
- artificial intteligence, preoperative assessment, ASA physical status classification, Intensive Care Unit admission, ChatGPT, Gemini, Anesthesiology
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AI-assisted preoperative assesmentOther
Preoperative clinical data are independently evaluated using ChatGPT and Gemini for ASA physical status classification and prediction of ICU admission within 24 hours after surgery. AI-generated assessments are used for research purposes only and do not influence clinical decision-making or patient care.
| Study group | Role | What they receive |
|---|---|---|
| elective surgical patients | Adult patients undergoing elective surgery who undergo routine preoperative anesthesia assessment. Preoperative clinical data from each participant are independently evaluated by the clinician and the AI models ChatGPT and Gemini for ASA physical status classification and prediction of ICU admission within the first 24 postoperative hours. AI assessments do not influence clinical management or patient care. Receives: Other: AI-assisted preoperative assesment |
What is being measured
The primary outcome is the main question the study is designed to answer.
Agreement in ASA Physical Status Classification
Agreement between clinician-assigned and AI-generated ASA Physical Status classifications will be evaluated for ChatGPT and Gemini using linear weighted kappa statistics.
Measured: During preoperative assessment
Secondary outcomes (1)
Prediction of Postoperative ICU Admission
The accuracy of preoperative predictions of postoperative ICU admission made by the clinician, ChatGPT, and Gemini will be evaluated against actual ICU admission occurring within the first 24 hours after surgery. Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy will be calculated for each evaluator.
Measured: Within the first 24 hours after surgery
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted24 Aug 2026
- Study start16 Feb 2026
- Primary completion20 Aug 2026 (estimated)
- Study completion20 Aug 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Preoperative Anesthesia AssesmentStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 2,500 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Bakirkoy Dr. Sadi Konuk Research and Training Hospital
- Sponsor type
- Other government
- Responsible party
- Principal investigator, Zeynep Lee, Bakirkoy Dr. Sadi Konuk Research and Training Hospital
- Investigators
- evrim kucur tülübaş, MD, Study director, Bakirkoy Dr. Sadi Konuk Research and Training Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07783334
- Sponsor's protocol ID
- 2026/51
- Status last verified
- Aug 2026
- First submitted
- 20 Aug 2026
- Last updated
- 24 Aug 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: Individual participant data will not be shared due to patient confidentiality and data protection considerations.
Study at a glance
From the registry record, last updated by the sponsor on 24 Aug 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- AI Assisted Clinical Decision-making in Preoperative Anesthesia Assessment: a Comparision of Clinicians, ChatGPT and Gemini
- ClinicalTrials.gov ID
- NCT07783334
- Acronym / sponsor ID
- 2026/51
- Conditions
- Preoperative Anesthesia Assesment
- Keywords
- artificial intteligence, preoperative assessment, ASA physical status classification, Intensive Care Unit admission, ChatGPT, Gemini, Anesthesiology
- Study type
- Observational
- Recruitment status
- Active, not recruiting
- Enrolment
- 2,500 participants (estimated)
- Lead sponsor
- Bakirkoy Dr. Sadi Konuk Research and Training HospitalOther government
- Study start
- 16 Feb 2026 (actual)
- Primary completion
- 20 Aug 2026 (estimated)
- Study completion
- 20 Aug 2026 (estimated)
- First posted
- 24 Aug 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This prospective observational study evaluates the performance of artificial intelligence (AI) models in preoperative anesthesia assessment. Preoperative clinical data from adult patients undergoing elective surgery are independently evaluated by clinicians and AI models (ChatGPT and Gemini). The study compares their assessments of American Society of Anesthesiologists (ASA) physical status classification and the predicted need for intensive care unit (ICU) admission within the first 24 hours after surgery. Actual postoperative ICU admission is used as the clinical outcome for evaluating predictive performance. No treatment or clinical decision is determined by the AI models, and patient management is performed according to routine clinical practice.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| elective surgical patients | – | Other: AI-assisted preoperative assesmentAdult patients undergoing elective surgery who undergo routine preoperative anesthesia assessment. Preoperative clinical data from each participant are independently evaluated by the clinician and the AI models ChatGPT and Gemini for ASA physical status classification and prediction of ICU admission within the first 24 postoperative hours. AI assessments do not influence clinical management or patient care. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- Adult patients undergoing elective surgery who are evaluated in the preoperative anesthesia clinic at Bakirkoy Dr. Sadi Konuk Research and Training Hospital.
Key inclusion criteria (4 listed)
- Age 18 years or older
- Scheduled for elective surgery
- Evaluated in the preoperative anesthesia clinic
- Provision of informed consent
Key exclusion criteria (7 listed)
- Pregnancy
- Presence of an upper respiratory tract infection
- Active herpes infection or active wound and/or lesion in the anesthesia-related area
- Age under 18 years
- Emergency surgery
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| AI-assisted preoperative assesmentPreoperative clinical data are independently evaluated using ChatGPT and Gemini for ASA physical status classification and prediction of ICU admission within 24 hours after surgery. AI-generated assessments are used for research purposes only and do not influence clinical decision-making or patient care. | Other | elective surgical patients |
Primary outcome
Agreement in ASA Physical Status Classification
Time frame: During preoperative assessment
Agreement between clinician-assigned and AI-generated ASA Physical Status classifications will be evaluated for ChatGPT and Gemini using linear weighted kappa statistics.
1 secondary outcome
Prediction of Postoperative ICU Admission
Time frame: Within the first 24 hours after surgery
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 24 Aug 2026.
- Individual participant dataSharing planned: No. Individual participant data will not be shared due to patient confidentiality and data protection considerations.
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
evrim kucur tülübaş, MD study director
Bakirkoy Dr. Sadi Konuk Research and Training Hospital
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Preoperative Anesthesia Assesment, run by Bakirkoy Dr. Sadi Konuk Research and Training Hospital at 1 site in Turkey (Türkiye).
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 7 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: under way, not looking for participants, as of the sponsor's last update on 24 Aug 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Turkey (Türkiye). Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Agreement in ASA Physical Status Classification (time frame: During preoperative assessment). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 24 Aug 2026; AzTrials last refreshed its copy on 7 Nov 2026.