Evaluating AI in Analyzing Arterial Waveform Data

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study aims to assess the effectiveness of artificial intelligence models, specifically ChatGPT-4 and Gemini 2.0, in interpreting arterial waveform data from hemodynamic monitoring systems in adult patients undergoing elective surgery. Participants will have their hemodynamic data analyzed by these AI models to detect abnormalities, generate diagnoses, and suggest treatment recommendations, which will then be validated by experienced anesthesiologists. The study seeks to determine the accuracy of AI in clinical decision-making and its potential to enhance patient care in perioperative settings.

Why it matters

Who can join: the full rules

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)

Where it's running

• Health Science University İstanbul Kanuni Sultan Süleyman Education and Training Hospital
  Istanbul, Turkey (Türkiye) Recruiting

Study contacts

• Study coordinator: Engin ihsan Turan, Specialist
• Email: enginihsan@hotmail.com
• Phone: 05382431114

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.