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NCT07364942: AI-PREOP
Comparison of Artificial Intelligence and Anesthesiologist in Preoperative Risk Assessment
trial in Preoperative Risk Assessment in 500 participants. Completed in 30 October 2025.
1 May 2025
Quick facts
| Lead sponsor | Gülgün Elif Aksoy |
|---|---|
| Status | Completed |
| Study type | OBSERVATIONAL |
| Enrollment | 500 |
| Start date | 1 March 2025 |
| Primary completion | 1 May 2025 |
| Estimated completion | 30 October 2025 |
| Sites | 1 location across Turkey (Türkiye) |
Conditions studied
- Preoperative Risk Assessment — all drugs for Preoperative Risk Assessment →
Sponsor
Gülgün Elif Aksoy
Who can join
Adults 18 to 99, any sex, with Preoperative Risk Assessment. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
Preoperative evaluation is essential for identifying patient-related risks before elective surgery and for planning safe anesthesia management. Traditionally, this evaluation is performed by anesthesiologists based on clinical history, physical examination, comorbidities, and laboratory findings. This observational study aims to compare the clinical performance of a machine learning-based artificial intelligence system with anesthesiologist assessment during preoperative patient evaluation. The artificial intelligence system independently analyzes patient data and generates risk assessments, which are then compared with evaluations performed by anesthesiologists. The primary objective of the study is to assess the level of agreement between the artificial intelligence system and anesthesiologists in preoperative risk assessment. Secondary objectives include evaluating the accuracy and consistency of the artificial intelligence system and exploring its potential role as a decision-support tool in preoperative clinical practice. The findings of this study may contribute to understanding the potential benefits and limitations of artificial intelligence-assisted decision making in preoperative evaluation
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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Related trials
Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT07364942 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Gülgün Elif Aksoy
- Last refreshed: 23 January 2026
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/NCT07364942.
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