NCT07210866

An Artificial Intelligence Model for Intensive Care Length of Stay, Neurological Outcome and Costs Estimation After Cardiopulmonary Resuscitation: a Cohort Study.

AN ARTIFICIAL INTELLIGENCE MODEL FOR INTENSIVE CARE LENGTH OF STAY, NEUROLOGICAL OUTCOME AND COSTS ESTIMATION AFTER CARDIOPULMONARY RESUSCITATION: A COHORT STUDY

• Status: Not Yet Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 5,000 (estimated)
• Sponsor: Bezmialem Vakif University · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

The study aims to overview patients registered to Bezmialem Vakıf University Hospital Intensive Care Unit after successive cardiac arrest resuscitation from October 2010 to September 2025. The goal is to determine length of stay in reanimation, neurological clinical outcome and costs of these patients at discharge from the department. All these data is intended to be evaluated by artificial intelligence to evaluate a predictive model.

Conditions

• Cost Analysis
• Length of ICU Stay
• Neurological Outcome

Interventions

Type	Name	Description
OTHER	no physical or medical interventions	Data from patients after successive rescucitaion will be evaluated by machine learning programs.

Timeline

• Start date: 2025-10-01
• Primary completion: 2025-12-01
• Completion: 2025-12-01
• First posted: 2025-10-07
• Last updated: 2025-10-07