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AI-Based ASA Classification in Preoperative Patients

NCT07407998 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 200

Last updated 2026-02-12

No results posted yet for this study

Summary

This prospective observational study aims to evaluate the performance of multiple artificial intelligence-based large language models in assigning American Society of Anesthesiologists Physical Status (ASA-PS) classifications in adult preoperative patients. AI-generated ASA scores obtained using both prompted and unprompted clinical scenario inputs will be compared with assessments performed by experienced anesthesiologists. The agreement, accuracy, readability, and overall quality of AI outputs will be analyzed to determine the potential role of artificial intelligence in supporting preoperative risk stratification.

Conditions

  • Preoperative Risk Assessment
  • ASA Physical Status Classification

Sponsors & Collaborators

  • Bursa City Hospital

    lead OTHER_GOV

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-12-15
Primary Completion
2024-12-15
Completion
2026-01-15

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 NCT07407998 on ClinicalTrials.gov