AI raises the alarm: EKG analysis announces heart risk earlier!
AI raises the alarm: EKG analysis announces heart risk earlier!
The combination of artificial intelligence (AI) and heart medicine promises new ways to identify cardiovascular risks. Philip Hempel and his colleagues from the “Biosignal Processing” working group at the Institute for Medical Computer Science at the University of Göttingen have published significant research results that have been published in the journal “NPJ Digital Medicine”. The scientists aim to use electrocardiograms (EKGS) to determine the individual "heart" of a person compared to their chronological age. Currently, cardiovascular diseases are identified mainly by laboratory parameters, blood pressure measurements and lifestyle factors.
The EKG measures the electrical activity of the heart and provides important information on acute and chronic heart disease and age -related changes. In the study, two main factors were identified for the "heart": the hypertrophy of the heart chambers by stiffening the blood vessels and an increase in connective tissue in the heart. Changes in the ECG can be analyzed over time to recognize subtle adjustments in the heart structure and function. AI is used to analyze EKGs and predict the biological age, also known as EKG age. This difference between ECG age and chronological age could soon serve as a new biomarker for the cardiovascular risk, which could significantly support the early detection of risk patients.
results of the study
The examination was based on a Ki-EKG analysis system that was trained with data from Brazilian patients. It turned out that the system identified people with a 1.63-way increased risk of death if there was a faster heart. In particular, patients whose ECG age was more than eight years above their chronological age had a significantly increased risk of mortality or cardiovascular diseases. In contrast, patients with an ECG age who was at least eight years under their chronological age showed a lower risk. These findings illustrate how AI can revolutionize the analysis of ECG data and improve early identification of heart risks.
The role of artificial intelligence in medicine
AI is increasingly recognized as a revolutionary technology in medicine. Prof. David Duncker, head of the Hanover Heart Rhythm Center, emphasizes that AI will bring significant changes in medical practice. AI-based systems carry out tasks that normally need human intelligence, and are designed to process large amounts of data in order to recognize patterns and make decisions. These progress allow a faster analysis of patient data, which leads to a better diagnosis.
So far, the use of AI in medicine has largely been limited to studies and test runs. Some AI applications have already found their way to clinical practice, especially in cardiology. Here AI supports the automatic analysis of imaging methods and can often evaluate heart ultrasound images more precisely than human cardiologists. This leads to a significant saving and improved support in the ECG analysis, since AI is better able to recognize previous heart attacks than many specialists.Progress in AI technology show the potential to significantly reduce the workload for doctors by filtering misinformation and having dangerous trends at an early stage. By further researching and expanding the possibilities of AI in cardiac medicine, new standards could soon be set in diagnostics and treatment of cardiovascular diseases.
In summary, it can be said that the integration of AI into cardiac medicine not only offers innovative approaches to risk identification, but could also revolutionize the entire approach to diagnostics. This could ultimately lead to better health care and higher life expectancy. Further information on the current developments can be found at Exxpress.at and DetailsOrt Göttingen, Deutschland Quellen
Kommentare (0)