The bad heart of the heart can have a biological heart of 40 years old with 40 years old heart health careers, European cardiology (ESC) congresses A scientist showed, to study the standard standard of artificial intelligence (AI) from almost half a million cases.

This algorithm could be used to identify cardiovascular events and mortality in danger. The biological age of our heart exceeded seven years, the risk of mortality and increased harmful cardiovascular events, an associate professor of the Inha University Hospital, an associate teacher in South Korea.

“On the contrary, if the algorithm estimates that the biological heart is seven years younger than chronological age, which reduces death risk and harmful cardiovascular events.” Integration of artificial intelligence (AI) into clinical diagnostics presents new opportunities to improve prediction accuracy in cardiology.

“Using AI in this way to develop algorithms in the cardiovascular risk assessment may have a paradigm change,” says baek associated teachers. The study of deep learning algorithms evaluated the biological age of the ECG (AI ecg-heart AGE) 12-lead ECG, comparing its prediction of traditional chronological age death and cardiovascular results. 425,051 12 ECG data set for fifteen years developed and was developed, validation and testing after an independent 97,058 ECG cohort.

Comparative analysis were carried out among the patients who match age and sex. In statistical models, the AI ecg-heart era has been over seven years, over 92 years old. Adi, AI ECG Heartly, his chronological age was more than 14 years old. It has also been reduced to 147 deaths. In addition, subjects with reduced fractions of ECG show AI ECG Reading High remarkantly.

That QRS has directed long durations and corrected QT intervals (the entire time required for the electricity of the heart to form a contraction and a cycle of relaxation). The meaning of the correlation seen and the AI ECG is the increase in heart rate, aimed at long durations of QRS, effectively reflects the AI ECG heart clutter and repetition processes. These electricity remodeling indicators can discuss carded heart conditions and their association.

The associated professor BAE, it is statistically sufficient in future studies. This approach will improve the strength and applicability of the Heart Function and Clinical Health Evaluations. ” It has concluded: “The biological heart mind usually has 12 electrocardiograms of lead.

Sources

https://www.techexplorist.com/ai-estimate-heart-biological-age-ecg-data/98471/

https://healthcare-in-europe.com/en/news/ai-biological-age-heart-cardiovascular-risk-ecg-data.html