Evaluation of the Success of Artificial Intelligence Models in Interpreting Arterial Waveform Analysis Data

Launched by KANUNI SULTAN SULEYMAN TRAINING AND RESEARCH HOSPITAL · Feb 10, 2025

Keywords

ClinConnect Summary

This clinical trial is studying how well artificial intelligence (AI) can interpret data from a special monitoring device that measures blood flow in patients during surgery. The main goal is to see if AI models, specifically ChatGPT-4 and Gemini 2.0, can accurately identify any problems with blood flow and provide recommendations for treatment. The results generated by the AI will be checked by experienced anesthesiologists to ensure they make sense and are safe for patients. This research could help improve how we monitor patients' health during surgery and make it safer for everyone involved.

To participate in this study, you need to be at least 18 years old and scheduled for elective surgery that includes monitoring your blood flow. You’ll need to give your consent to be part of the study, and your health data will be analyzed by the AI. However, if you have certain health issues, like severe heart arrhythmias or if you are having emergency surgery, you won't be able to participate. The trial is currently looking for participants, and your involvement could contribute to advancements in patient care in the future.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Age ≥ 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
• Exclusion Criteria:
• • 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)