Your eyes see Rhythm. AI sees Risk.
ECG Buddy is an AI-powered ECG analysis medical device developed for healthcare professionals in EDs and emergency settings. With just a single scan from your smartphone or tablet, it provides 11 types of arrhythmia classifications and 10 critical digital biomarkers (Shock, Myocardial Infarction, Heart Failure, etc.). Experience ECG Buddy, currently trusted by 80+ hospitals, for free on your mobile device.
[Essential Features for Emergency Care]
• 11 Heart Rhythm Classifications: Automated detection of various arrhythmias.
• 10 Digital Biomarkers: Instant graphical risk assessment for critical conditions (Shock, ACS, STEMI, Pulmonary Edema, Pericardial Effusion, LV/RV Dysfunction, Pulmonary Hypertension, Hyperkalemia, etc.).
• Auto-Region Detection: Intelligent recognition and framing of ECG image areas.
• Versatile Image Analysis: Analyze ECGs from your photo gallery, paper records, or web-based images.
• Report Sharing: Seamlessly transmit analysis results to medical teams during emergency patient transport.
[Proven Clinical Utility]
• Trusted by 80+ Hospitals: Integrated and actively used within major hospital systems in Korea.
• 13 Peer-Reviewed Papers: Accuracy and clinical utility validated through extensive research and publications.
[Usage Credits]
• 10 Free Credits Daily: Every user receives 10 free analysis credits every day. (1 Credit = 1 Analysis)
*Credit policy is subject to change upon the implementation of the subscription system.
[Precautions]
• Please read the "Instructions for Use" before clinical application.
• Clinical use is restricted to countries where regulatory approval has been granted. For educational and research purposes, use should be limited to post-case reviews and educational interpretations.
• For clinical use, this device is intended for physicians capable of interpreting 12-lead ECGs or medical personnel who transmit results to such physicians.
• This tool is designed to support diagnostic and treatment decisions and can never replace the professional medical judgment of a physician.
*For any inquiries or for more information, please visit our website (www.arpi.ai).