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Capabilities ofArtificial Intelligence Models in Externation Decision of Patient Who Followed in Intensive Care Unit ()

NCT06584890 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 398

Last updated 2025-05-31

No results posted yet for this study

Summary

This clinical study aims to evaluate the effectiveness of General Artificial Intelligence (AI) models, specifically ChatGPT and Gemini, in assisting with the decision-making process for discharging patients from the Intensive Care Unit (ICU) to a general ward or home. The timing of ICU discharge is a critical decision that significantly impacts patient outcomes and the efficient use of ICU resources. This study seeks to determine whether AI models can accurately and efficiently predict the optimal time for patient discharge, supporting clinicians in making informed decisions.

The primary hypothesis is that AI models can improve the accuracy and speed of discharge decisions compared to traditional methods. The study will assess the agreement between the AI model predictions and the decisions made by ICU specialists. Additionally, the study will compare the performance of ChatGPT and Gemini AI models to identify which model offers the most reliable and timely discharge decisions.

By exploring the potential of AI in clinical decision-making, this research could contribute to the development of innovative tools for ICU management, ultimately enhancing patient care and optimizing ICU operations. The findings could lead to the integration of AI models into clinical decision support systems, facilitating more accurate and efficient patient management in the ICU.

Conditions

  • Artificial Intelegence

Interventions

OTHER

decision

decision-making process regarding patient discharge from the Intensive Care Unit (ICU)

Sponsors & Collaborators

  • Kanuni Sultan Suleyman Training and Research Hospital

    lead OTHER

Principal Investigators

  • Engin ihsan turan · Health Science University İstanbul Kanuni Sultan Süleyman Education and Training Hospital

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-09-15
Primary Completion
2025-05-26
Completion
2025-05-27

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 NCT06584890 on ClinicalTrials.gov