CompletedNCT06726733

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

ConditionIntensive Care Unit (ICU) Admission, Emergency Department Patient, Artificial Intelligence (AI), Clinical Decision-making
StatusCompleted
Participants624
Est. Completion30 Nov 2024
Last Updated14 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

Turkey (Türkiye)
View Registry Entry

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