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

Recruiting Observational Study
Hemodynamic Instability
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At a Glance
Age
18 and older
Sex
Any
Study type
Observational
Participants needed
145 (estimated)
Sponsor
Kanuni Sultan Suleyman Training and Research Hospital · Other
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About This Trial
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 …
Trial Locations
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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 Exclu…
Contacts

Engin ihsan Turan, Specialist

05382431114

enginihsan@hotmail.com

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