RecruitingNCT07431710

The AIR-CPR Study: AI-Guided Chest Compressions

Utilizing Artificial Intelligence to Optimize Chest Compression Region During Cardio-pulmonary Resuscitation for Patients With Out-of-hospital Cardiac Arrest.


Sponsor

Far Eastern Memorial Hospital

Enrollment

255 participants

Start Date

Jan 6, 2025

Study Type

OBSERVATIONAL

Conditions

Summary

The AIR-CPR project aims to improve survival rates for patients with Out-of-Hospital Cardiac Arrest (OHCA) by utilizing Artificial Intelligence (AI) to optimize chest compression locations. Current guidelines recommend a standardized compression point (the lower half of the sternum), yet recent research indicates that this position can compress the aortic valve in approximately 48.7% of patients, significantly reducing the chances of successful resuscitation. This study will develop a deep learning model based on YOLO v8 to analyze real-time arterial pressure waveforms to identify proper aortic valve opening and closing. By identifying specific waveform features that humans cannot easily distinguish, the AI will guide rescuers to adjust the compression site-typically toward the left ventricle-to ensure optimal blood output. The project seeks to transform CPR from a standardized "one-size-fits-all" approach into a personalized, precision medicine intervention.


Eligibility

Min Age: 20 Years

Plain Language Summary

Simplified for easier understanding

This clinical trial is studying a procedure called AI-Guided Chest Compression Repositioning, Device: AI-Enhanced Arterial Waveform Monitor (AIR-CPR App), and others for people with aortic valve compression, cardiopulmonary resuscitation (cpr), and other related conditions. The study is currently recruiting participants at 1 location.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

DEVICEDevice: AI-Enhanced Arterial Waveform Monitor (AIR-CPR App)

A deep learning application based on the YOLO v8 architecture that analyzes real-time arterial pressure waveforms from a femoral A-line. It identifies whether the current chest compression location is causing aortic valve compression (as confirmed by TEE) and provides immediate feedback to the resuscitation team.

PROCEDUREAI-Guided Chest Compression Repositioning

When the AI application indicates aortic valve compression, the rescuer adjusts the mechanical chest compression (LUCAS) position. Based on literature and AI feedback, the adjustment typically involves moving the compression point downward and toward the left parasternal line to avoid the aortic valve and optimize left ventricular output.

DIAGNOSTIC_TESTTransesophageal Echocardiography (TEE)

Used as the "Gold Standard" throughout the study. TEE is performed during CPR to record the actual opening and closing of the aortic valve and the deformation of cardiac chambers, providing the labels for AI training and the verification for clinical testing.


Locations(1)

Far Eastern Memorinal Hospital

New Taipei City, Banqiao, Taiwan

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NCT07431710


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