Clinical Research Directory

Assessing Intensive Care Unit (ICU) Indications: Human vs. ChatGPT-4o Predictions

Sponsor: Bursa Yuksek Ihtisas Training and Research Hospital

Summary

This retrospective study evaluates the accuracy of ICU admission indications by comparing clinical decisions with predictions from ChatGPT-4. Patient data, including demographics, vital signs, laboratory results, imaging findings, and clinical decisions, will be retrospectively collected and documented systematically using Case Report Forms. The model will be trained using ICU admission guidelines and tasked to predict ICU needs based on collected patient data. This study aims to systematically assess the alignment between AI-based predictions and clinical decisions for ICU admissions.

Official title: Evaluation of the Accuracy of Intensive Care Unit (ICU) Admission Indications in Emergency Department Patients: A Comparison Between Clinical Decisions and ChatGPT-4o Prediction

Key Details

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Locations (1)