(IN BRIEF) Researchers have developed an AI algorithm that predicts a heart’s “biological” age using standard 12-lead ECG data. Presented at EHRA 2025, the study found that a biological heart age that is seven years older than the actual age … Read the full press release →
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Tagged 12-lead ECG, AI algorithm, Associate Professor Yong-Soo Baek, Cardiovascular risk, chronological age, deep learning, Early Detection, EHRA 2025, ejection fraction, electrical remodelling, European Society of Cardiology, heart biological age, MACE, major adverse cardiovascular events, mortality risk, neural network, preventive strategies, QRS duration, QT interval