Status:
COMPLETED
Evaluating the Efficacy of Artificial Intelligence Models in Predicting Intensive Care Unit Admission Needs
Lead Sponsor:
Kanuni Sultan Suleyman Training and Research Hospital
Conditions:
Intensive Care Unit
Eligibility:
All Genders
18+ years
Brief Summary
This study aims to evaluate the efficacy of two artificial intelligence (AI) models in predicting the need for ICU admissions. By comparing the AI models' predictions with actual clinical decisions, w...
Detailed Description
Intensive care units (ICUs) are critical components of healthcare systems, providing life-saving care to patients with severe and life-threatening conditions. Timely and accurate prediction of ICU adm...
Eligibility Criteria
Inclusion
- Patients over the age of 18
- Patients consulted for anesthesia regarding intensive care needs
- Patients with sufficient data in the hospital's electronic health record system
Exclusion
- Patients with insufficient data in the hospital records
Key Trial Info
Start Date :
July 15 2024
Trial Type :
OBSERVATIONAL
Allocation :
ACTUAL
End Date :
October 2 2024
Estimated Enrollment :
8043 Patients enrolled
Trial Details
Trial ID
NCT06494748
Start Date
July 15 2024
End Date
October 2 2024
Last Update
October 8 2024
Active Locations (1)
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1
Health Science University İstanbul Kanuni Sultan Süleyman Education and Training Hospital
Istanbul, Turkey (Türkiye), 34303