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The AIR-CPR Study: AI-Guided Chest Compressions

Study acronym: AIR-CPR
StatusRecruiting
PhaseNot specified
Started
View on ClinicalTrials.gov ↗

Record History

  1. Study First Submitted
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.
Trial Details
NCT Number NCT07431710
Lead Sponsor Far Eastern Memorial Hospital
Collaborators: National Health Research Institutes, Taiwan
Conditions
(from sponsor)		 Out-of-hospital Cardiac Arrest (OHCA), Cardiopulmonary Resuscitation (CPR), Aortic Valve Compression, Precision Resuscitation
Related terms Out-of-Hospital Cardiac Arrest
Enrollment 255 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov