Status:
COMPLETED
Capabilities ofArtificial Intelligence Models in Externation Decision of Patient Who Followed in Intensive Care Unit ()
Lead Sponsor:
Kanuni Sultan Suleyman Training and Research Hospital
Conditions:
Artificial Intelegence
Eligibility:
All Genders
18+ years
Brief 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 pa...
Detailed Description
This study is designed to assess the effectiveness of General Artificial Intelligence (AI) models, specifically ChatGPT and Gemini, in facilitating discharge decisions from the Intensive Care Unit (IC...
Eligibility Criteria
Inclusion
- Patients aged 18 years or older.
- Patients currently admitted to the Intensive Care Unit (ICU) during the study -period.
- Patients with sufficient clinical data available in the hospital\'s information system, including demographic information, clinical indicators, and treatment history.
- Patients for whom a discharge decision (to a general ward or home) needs to be made during their ICU stay.
Exclusion
- Patients younger than 18 years old. Patients with incomplete or insufficient clinical data in the hospital\'s information system, making it difficult to assess their condition accurately.
- Patients who are in the ICU for palliative care or end-of-life care, where discharge to a general ward or home is not anticipated.
- Patients who have opted out of participating in the study or whose legal representatives have declined participation.
Key Trial Info
Start Date :
September 15 2024
Trial Type :
OBSERVATIONAL
Allocation :
ACTUAL
End Date :
May 27 2025
Estimated Enrollment :
398 Patients enrolled
Trial Details
Trial ID
NCT06584890
Start Date
September 15 2024
End Date
May 27 2025
Last Update
May 31 2025
Active Locations (1)
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1
Health Science University İstanbul Prof Dr Cemil Taşcıoğlu City Hospital
Istanbul, Küçükçekmece, Turkey (Türkiye), 34303