SNU Bundang Hospital Research Team Receives MFDS Approval for AI Model That Analyzes ECG Images via Smartphone
<p><strong>Seoul National University Bundang Hospital</strong> announced on the 5th that a research team led by <strong>Kim Joong-hee</strong>(Department of Emergency Medicine) and <strong>Cho Young-jin</strong> (Division of Cardiology) has successfully developed <i>ECG Buddy</i>, a medical AI application that analyzes ECG images captured on smartphones to assess arrhythmias, emergency conditions, and abnormalities in cardiac function. The application has recently received approval from Korea’s Ministry of Food and Drug Safety (MFDS).<br> </p><p>In emergency departments, rapid evaluation and intervention are directly linked to patient outcomes. ST-elevation myocardial infarction (STEMI)—the most severe form of myocardial infarction and a leading cause of death among middle-aged adults—requires diagnosis and treatment decisions within 10 minutes. Patients with pulmonary edema must receive diuretics before progressing to respiratory failure, while those with hyperkalemia must be administered calcium before life-threatening arrhythmias occur. In such time-critical scenarios, fast and accurate ECG interpretation is essential.<br><br>To read more, click below</p><p>➡️ <a target="_blank" rel="noopener noreferrer" href="https://www.kgnews.co.kr/news/article.html?no=784205"><i>Read the full article</i></a><br><strong>Source:</strong> Gyeonggi Newspaper</p>