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NCT07407998: AI-Based ASA C

AI-Based ASA Classification in Preoperative Patients

Completed Last updated 12 February 2026
What this trial tests

trial in Preoperative Risk Assessment in 200 participants. Completed in 15 January 2026.

Timeline
15 December 2024
Primary endpoint
15 December 2024
15 January 2026

Quick facts

Lead sponsorBursa City Hospital
StatusCompleted
Study typeOBSERVATIONAL
Enrollment200
Start date15 December 2024
Primary completion15 December 2024
Estimated completion15 January 2026
Sites1 location across Turkey (Türkiye)

Conditions studied

Sponsor

Bursa City Hospital

Who can join

18 and older, any sex, with Preoperative Risk Assessment or ASA Physical Status Classification. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

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Other Bursa City Hospital trials

Trials by the same sponsor.

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Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT07407998.

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