Evaluation of the Accuracy of Intensive Care Unit (ICU) Admission Indications in Emergency Department Patients: A Comparison Between Clinical Decisions and ChatGPT-4o Prediction
Sponsor: Bursa Yuksek Ihtisas Training and Research Hospital
Trial Details
| Condition | Intensive Care Unit (ICU) Admission, Emergency Department Patient, Artificial Intelligence (AI), Clinical Decision-making |
| Status | Completed |
| Participants | 624 |
| Est. Completion | 30 Nov 2024 |
| Last Updated | 14 Apr 2026 |
Primary Outcome
Accuracy rate of ChatGPT-4 in predicting ICU indications; False positive rate; False negative rate
Eligibility Criteria
Inclusion Criteria
Inclusion Criteria: * Patients aged 18 years and older who are consulted to the anesthesiology and reanimation clinic for ICU indications from the emergency department will be included in the study. Exclusion Criteria: * Patients consulted to the anesthesiology and reanimation clinic for ICU indications from inpatient services. * Patients consulted to the anesthesiology and reanimation clinic from the emergency department for reasons other than ICU indications. * Patients consulted to the anesthesiology and reanimation clinic for ICU indications from the emergency department but with insufficient recorded data (patients with data loss)
Trial Sites
Countries
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