The AIR-CPR Study: AI-Guided Chest Compressions

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.

Conditions

• Out-of-hospital Cardiac Arrest (OHCA)
• Cardiopulmonary Resuscitation (CPR)
• Aortic Valve Compression
• Precision Resuscitation

Interventions

DEVICE

Device: 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.

PROCEDURE

AI-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_TEST

Transesophageal 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.

Sponsors & Collaborators

• National Health Research Institutes, Taiwan

  collaborator OTHER

• Far Eastern Memorial Hospital

  lead OTHER

Eligibility

Min Age

20 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2025-01-06

Primary Completion

2027-12-31

Completion

2027-12-31

Countries

• Taiwan

Study Locations