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Agreement Between ChatGPT-5 and Anesthesiologists in Preoperative Risk Assessment: ASA Classification

NCT07459491 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 703

Last updated 2026-04-22

No results posted yet for this study

Summary

Accurate preoperative risk stratification is essential for perioperative planning, resource allocation, and patient safety. The American Society of Anesthesiologists Physical Status (ASA-PS) classification remains the most widely used global system for assessing preoperative health status. However, ASA classification relies on clinician judgment and may demonstrate inter-observer variability.

Recent advances in artificial intelligence (AI), particularly large language models (LLMs), have shown potential for assisting clinical decision-making by synthesizing structured and unstructured medical information. In perioperative medicine, AI systems may support more standardized risk assessment and laboratory testing strategies.

The objective of this observational study is to evaluate the agreement between ASA classifications assigned by anesthesiologists and those generated by a large language model (ChatGPT-5) using anonymized preoperative clinical information. The study will also examine differences in laboratory test recommendations and explore the relationship between clinician- and AI-generated risk assessments and perioperative erythrocyte suspension utilization.

Adult patients scheduled for elective surgery who undergo routine preoperative anesthesia assessment will be included. For each patient, the ASA classification assigned by the anesthesiologist will be recorded and compared with the classification generated by the AI system using the same anonymized clinical information.

This study aims to assess whether AI-assisted preoperative evaluation may support more consistent risk stratification and potentially contribute to more standardized perioperative resource utilization.

Conditions

  • Artifical Intelligence
  • Preoperative Evaluation

Interventions

OTHER

No intervention (observational study)

This is a non-interventional observational study. No therapeutic or diagnostic intervention is performed as part of the study

Sponsors & Collaborators

  • Damla Kaytancı Özçelik

    lead OTHER

Principal Investigators

  • Damla Kaytancı Özçelik · Antalya City Hospital

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-01-10
Primary Completion
2026-02-10
Completion
2026-05-01

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 NCT07459491 on ClinicalTrials.gov