CMUH Cross-Disciplinary Team Received the 17th National Innovation Award with Their Development: Artificial Intelligence Assisted Autodiagnosis of ST-Elevation Myocardial Infarction 24/7

Date:November 5, 2020

Chinese Version


A great news to myocardial infarction patients! A cross-disciplinary research team of China Medical University Hospital (CMUH) developed the “Artificial Intelligence Assisted Autodiagnosis of ST-Elevation Myocardial Infarction 24/7” that won the 17th National Innovation Award. This technology use AI to automatically diagnose the myocardial infarction ECG interpretation, and it can provide patients with the latest and most efficient care.

 

In general, it is suggested that ST elevation myocardial infarction (STEMI) patients go to emergency and insert heart catheterization to restore the blood flow (door-to-balloon time, D2B) within 90 minutes. However, the D2B time of many patients still exceed 90 minutes due to two main reasons: 1. Some STEMI patients have atypical symptoms which lead to delay in the ECG examination. 2. The interpretation of ECG was not immediate and accurate so the cardiac catheterization was delayed.

 

Moreover, many small-scale hospitals or rural hospitals with less medical resource are often lack of cardiologist, so it is likely that the interpretation and treatment of STEMI patients is delayed, thereby increasing the mortality rate. Even in medical centers, due to large number of patients, the cardiologist may not have time to do immediate ECG interpretation of cardiovascular diseases.

 

CMUH have been using the newly developed ASAP score and the AI Assisted Autodiagnosis of STEMI system to remind doctors that the patients with STEMI need to go through ECG examination immediately. With this technology, AI is used in interpreting the ECG and it can send out warning messages, and avoid delay in treatment and improve the quality of health care.

 


Photos:


	Dr. Kuan-Cheng Chang, the leader of the Research Team

Dr. Kuan-Cheng Chang, the leader of the Research Team

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