Success of ChatGPT in Determining the Need for Postoperative Intensive Care

NCT06321328 | Completed

• 1 other identifier: ChatGpt postoperative ICU
• Study Type: observational
• Target: 406
• Locations: 1 country
• Sites: 1

Brief 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

Keywords

artificial intelligence

Outcome Measures

Primary Outcomes (1)

• Intensive care predictions

  intensive care predictions provided from ChatGpt will be compared with the decisions given by anesthesiologists

  3 months

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

All patients over 18 years of age with ASA score III or IV or who underwent surgery in two hospitals where intensive care follow-up was recommended in the postoperative period will be included in the study.

You may qualify if:

• Patients 18 years of age and older Patients with ASA scores III and IV who were scheduled for surgery.

You may not qualify if:

• Lack of consent of the patient or relatives, Patients undergoing cardiovascular surgery and pediatric cardiovascular surgery.
• Patients with ASA score I-II-V-VI. Patients under 18 years of age Emergency cases Operations with surgical complications Operations with anesthetic complications

Sponsors & Collaborators

• Kanuni Sultan Suleyman Training and Research Hospital: lead

Study Sites (1)

istanbul Kanuni Sultan Süleyman Education and Training Hospital

Istanbul, 34303, Turkey (Türkiye)

Location

Related Publications (1)

• Yeo YH, Samaan JS, Ng WH, Ting PS, Trivedi H, Vipani A, Ayoub W, Yang JD, Liran O, Spiegel B, Kuo A. Assessing the performance of ChatGPT in answering questions regarding cirrhosis and hepatocellular carcinoma. Clin Mol Hepatol. 2023 Jul;29(3):721-732. doi: 10.3350/cmh.2023.0089. Epub 2023 Mar 22.

  PMID: 36946005 BACKGROUND

Study Officials

• Engin ihsan Turan

  Health Science University İstanbul Kanuni Sultan Süleyman Education and Training Hospital

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: CASE ONLY
• Time Perspective: PROSPECTIVE
• Target Duration: 30 Days
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: anesthesiology and reanimation specialist

Study Record Dates

• First Submitted: March 14, 2024
• First Posted: March 20, 2024
• Study Start: March 16, 2024
• Primary Completion: July 16, 2024
• Study Completion: August 1, 2024
• Last Updated: September 19, 2024

Record last verified: 2024-03

Locations

TU (1)