AI Assisted Preoperative Assessment for ASA Classification and ICU Admission
August 20, 2026 updated by: Zeynep Lee, Bakirkoy Dr. Sadi Konuk Research and Training Hospital
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.
Study Overview
Status
Active, not recruiting
Conditions
Intervention / Treatment
Study Type
Observational
Enrollment (Estimated)
2500
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
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Istanbul
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Istanbul, Istanbul, Turkey (Türkiye), 34147
- Bakırkoy Dr. Sadi Konuk Training and Research Hospital
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Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Yes
Sampling Method
Non-Probability Sample
Study Population
Adult patients undergoing elective surgery who are evaluated in the preoperative anesthesia clinic at Bakirkoy Dr. Sadi Konuk Research and Training Hospital.
Description
Inclusion Criteria:
- Age 18 years or older
- Scheduled for elective surgery
- Evaluated in the preoperative anesthesia clinic
- Provision of informed consent
Exclusion Criteria:
- 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
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
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.
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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.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Agreement in ASA Physical Status Classification
Time Frame: During preoperative assessment
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Agreement between clinician-assigned and AI-generated ASA Physical Status classifications will be evaluated for ChatGPT and Gemini using linear weighted kappa statistics.
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During preoperative assessment
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Prediction of Postoperative ICU Admission
Time Frame: Within the first 24 hours after surgery
|
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.
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Within the first 24 hours after surgery
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Study Director: evrim kucur tülübaş, MD, Bakirkoy Dr. Sadi Konuk Research and Training Hospital
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
February 16, 2026
Primary Completion (Estimated)
August 20, 2026
Study Completion (Estimated)
August 20, 2026
Study Registration Dates
First Submitted
August 20, 2026
First Submitted That Met QC Criteria
August 20, 2026
First Posted (Actual)
August 24, 2026
Study Record Updates
Last Update Posted (Actual)
August 24, 2026
Last Update Submitted That Met QC Criteria
August 20, 2026
Last Verified
August 1, 2026
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- 2026/51
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
IPD Plan Description
Individual participant data will not be shared due to patient confidentiality and data protection considerations.
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.