Actively Recruiting
Evaluation of the Success of Artificial Intelligence Models in Interpreting Arterial Waveform Analysis Data
Led by Kanuni Sultan Suleyman Training and Research Hospital · Updated on 2025-03-04
145
Participants Needed
1
Research Sites
26 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
The goal of this observational study is to evaluate the ability of artificial intelligence (AI) models to interpret arterial waveform analysis data obtained from a hemodynamic monitoring system in adult patients undergoing elective surgery. The main questions it aims to answer are: Can AI models (ChatGPT-4 and Gemini 2.0) accurately detect hemodynamic abnormalities in arterial waveform data? How well do AI-generated diagnoses align with expert anesthesiologist assessments? Are AI-generated treatment recommendations clinically appropriate? Participants will: Undergo standard hemodynamic monitoring with an arterial waveform analysis device (MostCare). Have their anonymized hemodynamic data analyzed by AI models for abnormality detection, diagnosis suggestions, and treatment recommendations. Have AI-generated results reviewed and validated by experienced anesthesiologists. This study aims to assess whether AI models can serve as decision-support tools in perioperative and critical care settings by improving the interpretation of complex hemodynamic data, potentially enhancing patient safety, diagnostic accuracy, and clinical efficiency.
CONDITIONS
Official Title
Evaluation of the Success of Artificial Intelligence Models in Interpreting Arterial Waveform Analysis Data
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age 65 18 years
- Undergoing elective surgery with arterial waveform monitoring as part of standard perioperative care
- Hemodynamic data successfully recorded using the MostCare hemodynamic monitoring system
- Able to provide informed consent to participate in the study
You will not qualify if you...
- Incomplete or corrupted hemodynamic data (e.g., signal artifacts preventing reliable analysis)
- Emergency surgery cases
- Patients with severe arrhythmias or hemodynamic instability that might interfere with arterial waveform interpretation
- Refusal to participate or withdrawal of consent
- Patients with contraindications to arterial catheterization (e.g., coagulopathy, severe peripheral vascular disease)
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
Health Science University İstanbul Kanuni Sultan Süleyman Education and Training Hospital
Istanbul, Turkey (Türkiye), 34303
Actively Recruiting
Research Team
E
Engin ihsan Turan, Specialist
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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