AI Assisted Preoperative Assessment for ASA Classification and ICU Admission

NCT07783334 | Active Not Recruiting

• 1 other identifier: 2026/51
• Study Type: observational
• Target: 2,500
• Locations: 1 country
• Sites: 1

Brief 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). 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

Keywords

artificial intteligence; preoperative assessment; ASA physical status classification; Intensive Care Unit admission; ChatGPT; Gemini; Anesthesiology

Outcome Measures

Primary Outcomes (1)

• 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.

  During preoperative assessment

Secondary Outcomes (1)

• Prediction of Postoperative ICU Admission

  Within the first 24 hours after surgery

Study Arms (1)

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.

Other: AI-assisted preoperative assesment

Interventions

AI-assisted preoperative assesment OTHER

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.

elective surgical patients

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• 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.

You may qualify if:

• Age 18 years or older
• Scheduled for elective surgery
• Evaluated in the preoperative anesthesia clinic
• Provision of informed consent

You may not qualify if:

• 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

Sponsors & Collaborators

• Bakirkoy Dr. Sadi Konuk Research and Training Hospital: lead

Study Sites (1)

Bakırköy Dr. Sadi Konuk Training and Research Hospital

Istanbul, Istanbul, 34147, Turkey (Türkiye)

Location

Study Officials

• evrim kucur tülübaş, MD

  Bakirkoy Dr. Sadi Konuk Research and Training Hospital

  STUDY DIRECTOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER GOV
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: anesthesiology and reanimation resident

Study Record Dates

• First Submitted: August 20, 2026
• First Posted: August 24, 2026
• Study Start: February 16, 2026
• Primary Completion: August 20, 2026
• Study Completion: August 20, 2026
• Last Updated: August 24, 2026

Record last verified: 2026-08

Data Sharing

• IPD Sharing: Will not share

Locations

TU (1)