Agreement Between ChatGPT-5 and Anesthesiologists in Predicting Postoperative ICU Requirement

NCT07395791 | Active Not Recruiting

• 1 other identifier: AntalyaCity
• Study Type: observational
• Target: 938
• Locations: 1 country
• Sites: 1

Brief Summary

Accurate prediction of postoperative intensive care unit (ICU) requirement is essential for patient safety and efficient use of limited ICU resources. In routine clinical practice, decisions regarding postoperative ICU admission are primarily based on anesthesiologists' preoperative clinical judgment, which may vary among clinicians. This prospective, observational study aims to evaluate the agreement between predictions made by ChatGPT-5(Chat Generative Pre-trained Transformer) and anesthesiologists regarding postoperative ICU requirement using routinely collected preoperative patient data, and to compare these predictions with actual postoperative ICU admission outcomes. The study does not involve any intervention, treatment modification, or additional procedures beyond standard clinical care. All patient data are anonymized, and clinical management is not influenced by the model's predictions

Conditions

Postoperative Care

Keywords

Artificial Intelligence; ChatGPT; Anesthesiology; Intensive Care Unit; Postoperative Care; Risk Prediction

Outcome Measures

Primary Outcomes (1)

• Agreement Between Predicted and Actual Postoperative ICU Requirement

  Agreement between preoperative predictions of postoperative intensive care unit (ICU) requirement made by ChatGPT-5 and anesthesiologists, compared with actual postoperative ICU admission outcomes.

  Within the first 24 hours after surgery

Interventions

No intervention (observational study) OTHER

This is a non-interventional observational study. No therapeutic or diagnostic intervention is performed as part of the study.

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

The study population consists of adult patients aged 18 years and older who underwent elective surgical procedures and received preoperative anesthesiology evaluation at a tertiary care hospital. The study includes patients for whom postoperative intensive care unit (ICU) requirement was assessed based on preoperative clinical data. Patient outcomes were evaluated according to actual postoperative ICU admission status.

You may qualify if:

• Adult patients aged 18 years or older.
• Patients undergoing elective surgical procedures requiring preoperative anesthesiology evaluation.
• Availability of complete preoperative clinical data required for postoperative intensive care unit (ICU) need prediction.
• Patients evaluated preoperatively by an anesthesiology specialist.

You may not qualify if:

• Patients younger than 18 years of age.
• Emergency surgical procedures.
• Patients with incomplete or missing preoperative clinical data.
• Patients who decline the use of their clinical data for research purposes.

Sponsors & Collaborators

• Beste Mutlu Dağlıoğlu: lead

Study Sites (1)

Antalya City Hospital

Antalya, Turkey (Türkiye)

Location

MeSH Terms

Interventions

Observation

Intervention Hierarchy (Ancestors)

Methods; Investigative Techniques

Study Officials

• Beste Mutlu Dağlıoğlu

  Antalya City Hospital

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR INVESTIGATOR
• PI Title: Specialist in Anesthesiology and Reanimation

Study Record Dates

• First Submitted: February 1, 2026
• First Posted: February 9, 2026
• Study Start: December 7, 2025
• Primary Completion: December 31, 2025
• Study Completion (Estimated): June 1, 2026
• Last Updated: February 11, 2026

Record last verified: 2026-01

Locations

TU (1)