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

NCT06494748 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 8043

Last updated 2024-10-08

No results posted yet for this study

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, we aim to determine their accuracy and potential utility in clinical decision support.

Conditions

  • Intensive Care Unit

Interventions

OTHER

Follow up Decision

0: No need to follow up in Intensive Care Unit 1: Need to follow up in Intensive Care Unit

Sponsors & Collaborators

  • Kanuni Sultan Suleyman Training and Research Hospital

    lead OTHER

Principal Investigators

  • Engin ihsan Turan, Specialist · Health Science University İstanbul Kanuni Sultan Süleyman Education and Training Hospital

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-07-15
Primary Completion
2024-10-01
Completion
2024-10-02

Countries

  • Turkey (Türkiye)

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06494748 on ClinicalTrials.gov