Electrocardiography (ECG) has long been a cornerstone of cardiology diagnostics. However, interpreting the complex curves requires a great deal of experience and is time-consuming. Artificial intelligence (AI) now offers the potential to revolutionize ECG analysis and improve both the speed and accuracy of diagnoses. By using machine learning, algorithms can be trained to recognize ECG patterns that indicate heart disease such as arrhythmias, heart attacks or heart failure.
A key advantage of AI-supported ECG analysis is its speed. While manual analysis by a cardiologist takes time, AI can deliver results within seconds. This is particularly important in emergency situations, where a quick diagnosis can be life-saving. In addition, AI can help improve diagnostics in regions with limited access to specialized physicians. Mobile ECG devices, combined with AI-powered software, allow patients to monitor their heart health independently and detect abnormalities early. One example of this are products from manufacturers such as Viatom/Wellue/Lepu, which offer portable ECG devices with AI-supported analysis.
The accuracy of AI-supported ECG analysis is also very promising. Studies show that AI algorithms are able to diagnose heart disease with an accuracy comparable to that of experienced cardiologists. With the continuous development of algorithms and the availability of ever larger data sets, the accuracy of AI diagnostics is expected to increase further in the future. The combination of speed, accuracy and increased availability makes AI-assisted ECG measurement a promising tool for improving heart health. However, it is important to emphasize that AI does not replace the physician, but serves as a supporting tool to optimize diagnostics and improve patient care.
Produktlink: https://www.trendmedic.de/en/viatom-wellue-ecg-monitor-er1lw
Produktlink: https://www.trendmedic.de/en/holter-12-channel-th12
