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Success of ChatGPT in Determining the Need for Postoperative Intensive Care

NCT06321328 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 406

Last updated 2024-09-19

No results posted yet for this study

Summary

This is a prospective, observational study to be conducted at Sağlık Bilimleri University Istanbul Kanuni Sultan Süleyman Training and Research Hospital and Başakşehir Çam and Sakura City Hospital. The study aims to record various preoperative and postoperative data of patients who have undergone surgeries, specifically those with ASA scores of III and IV or those indicated to potentially need postoperative intensive care. Data points include patient demographics, type of surgery, ASA score, comorbidities, lab and imaging findings, and both actual and ChatGPT version 4 predicted outcomes regarding postoperative intensive care needs, anesthesia methods, duration of stay in intensive care and the hospital, and 30-day mortality rates. ChatGPT version 4's predictions will be compared with actual outcomes and anesthesiologist decisions.

Conditions

  • Artificial Intelligence
  • Intensive Care Unit
  • PACU Length of Stay

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
2024-03-16
Primary Completion
2024-07-16
Completion
2024-08-01

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 NCT06321328 on ClinicalTrials.gov