Effectiveness of ChatGPT-4 in predicting the human decision to send patients to the postoperative intensive care unit: a prospective multicentric study

The findings demonstrate that ChatGPT-4 can effectively predict postoperative ICU needs, providing a valuable tool for clinical decision-making. While the model showed strong agreement with actual ICU admissions, refinement is needed to improve the accuracy of ICU stay duration predictions. Integrating AI in preoperative assessments could enhance objectivity and efficiency, contributing to optimized patient care and resource allocation. Further validation across diverse patient populations is recommended.

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Publication Details

Journal
Minerva Anestesiologica
Published
2025-03-27
DOI
https://doi.org/10.23736/s0375-9393.24.18587-2
Citations
4
Primary Topic
Cardiac, Anesthesia and Surgical Outcomes
Type
article
Field-Weighted Citation Impact
5.55
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article

Effectiveness of ChatGPT-4 in predicting the human decision to send patients to the postoperative intensive care unit: a prospective multicentric study

Engin İhsan Turan, Ayça Sultan Şahin, Funda Gümüş Özcan, Abdurrahman Engin Baydemir
4 citations
Minerva Anestesiologica
Cardiac, Anesthesia and Surgical Outcomes
5.55
article

Effectiveness of ChatGPT-4 in predicting the human decision to send patients to the postoperative intensive care unit: a prospective multicentric study

Engin İhsan Turan, Ayça Sultan Şahin, Funda Gümüş Özcan, Abdurrahman Engin Baydemir
article en
4 citations

Abstract

The findings demonstrate that ChatGPT-4 can effectively predict postoperative ICU needs, providing a valuable tool for clinical decision-making. While the model showed strong agreement with actual ICU admissions, refinement is needed to improve the accuracy of ICU stay duration predictions. Integrating AI in preoperative assessments could enhance objectivity and efficiency, contributing to optimized patient care and resource allocation. Further validation across diverse patient populations is recommended.

Minerva AnestesiologicaVol. 91(4)
Istanbul Metropolitan Municipality (TR), Sağlık Bilimleri Üniversitesi (TR)
Peace, Justice and strong institutions
Openalex Percentile: Top 4%
Cardiac, Anesthesia and Surgical Outcomes
5.55
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