Evaluating AI-Guided Stroke Volume Measurement by Minimally Trained ICU Operators Compared to Experts

What this Trial Is About

Researchers are studying the reliability of measuring stroke volume in critically ill patients with unstable blood flow and low tissue oxygen levels. The study focuses on comparing measurements of Left Ventricular Outflow Tract LVOT Velocity-Time Integral VTI, an important ultrasound estimate of stroke volume, between minimally trained operators and expert intensive care physicians. This research evaluates the use of UltraSight AI software to guide operators in obtaining accurate heart images, aiming to improve basic ultrasound skills in intensive care. The trial involves two groups minimally trained operators, including intensive care residents and medical students with limited ultrasound experience, and expert ICU physicians. Both groups use the same ultrasound device equipped with AI guidance to capture heart images and measure LVOT VTI. Patients needing fluid administration due to low tissue perfusion will undergo a fluid challenge or passive leg raising test, with LVOT VTI measured before and after by both operator groups independently and blinded to each other. Participants will have their LVOT VTI measured by both operator types within 60 minutes, assessing the difference and agreement between measurements. Researchers will also evaluate how these measurements influence therapeutic decisions regarding fluid administration. The study includes monitoring of various measurement differences and correlations to confirm if minimally trained operators can reliably perform these critical assessments using AI guidance.

Reliability of Minimally Trained Operator's Velocity-Time Integral Measurement Guided by Artificial Intelligence VTI