# Evaluating the Efficacy of Artificial Intelligence Models in Predicting Intensive Care Unit Admission Needs

> **NCT06494748** · — · COMPLETED · sponsor: **Kanuni Sultan Suleyman Training and Research Hospital** · enrollment: 8043 (actual)

## Conditions studied

- Intensive Care Unit

## Interventions

- **OTHER:** Follow up Decision

## Key facts

- **NCT ID:** NCT06494748
- **Lead sponsor:** Kanuni Sultan Suleyman Training and Research Hospital
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2024-07-15
- **Primary completion:** 2024-10-01
- **Final completion:** 2024-10-02
- **Target enrollment:** 8043 (ACTUAL)
- **Last updated:** 2024-10-08


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06494748

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06494748, "Evaluating the Efficacy of Artificial Intelligence Models in Predicting Intensive Care Unit Admission Needs". Retrieved via AI Analytics 2026-06-05 from https://api.ai-analytics.org/clinical/NCT06494748. Licensed CC0.

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