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
N/A
Total Duration
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AI-Summary
What this Trial Is About
Researchers are evaluating the ability of artificial intelligence (AI) models, specifically ChatGPT-4 and Gemini 2.0, to interpret arterial waveform analysis data from adult patients undergoing elective surgery. The study aims to determine how accurately these AI models can detect hemodynamic abnormalities, how well their diagnostic suggestions match expert anesthesiologist assessments, and whether their treatment recommendations are clinically appropriate. This observational study focuses on improving decision-support tools in perioperative and critical care settings by enhancing the interpretation of complex hemodynamic data. Participants will undergo standard hemodynamic monitoring using the MostCare arterial waveform analysis device during elective surgery. Data collection will occur at multiple time points: before anesthesia induction, after intubation but before surgery, and during key surgical events requiring hemodynamic intervention. The anonymized waveform data will be analyzed by AI models to detect abnormalities, suggest diagnoses, and recommend treatments. Experienced anesthesiologists will independently review these AI-generated results to validate accuracy and relevance. Throughout the study, participants' hemodynamic data and AI analyses will be compared against expert assessments. Researchers will measure the accuracy of AI in detecting abnormalities, the agreement between AI and anesthesiologist diagnoses, and the clinical suitability of AI treatment suggestions. No additional interventions beyond routine care are involved. The study's duration is approximately six months, aiming to explore AI's potential to support clinical decision-making and improve patient safety during surgery.
CONDITIONS
Brief 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 18 years or older
- Undergoing elective surgery with arterial waveform monitoring as part of standard perioperative care
- Hemodynamic data successfully recorded using the MostCare monitoring system
- Able to provide informed consent to participate in the study
You will not qualify if you...
- Incomplete or corrupted hemodynamic data preventing reliable analysis
- Emergency surgery cases
- Severe arrhythmias or hemodynamic instability affecting arterial waveform interpretation
- Refusal to participate or withdrawal of consent
- Contraindications to arterial catheterization such as coagulopathy or severe peripheral vascular disease
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person)
Duration - During the perioperative period (typically hours on the day of surgery)
Participants undergoing elective surgery are monitored using routine arterial waveform analysis during perioperative care. Data is collected at pre-anesthesia, post-anesthesia induction, and intraoperative periods to assess hemodynamic status.
Continuous monitoring during surgery with data collection at 3 key time points
Duration - Up to 1 day post data collection
Collected arterial waveform data is analyzed by AI models and validated by expert anesthesiologists to evaluate AI accuracy and clinical relevance.
No additional visits; analysis is performed remotely on collected data
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
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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