The detection and monitoring of electrolyte imbalance is essential for appropriate management of many metabolic diseases; however, there is no tool that detects such imbalances reliably and noninvasively. In this study, we developed a deep learning model (DLM) using electrocardiography (ECG) for detecting electrolyte imbalance and validated its performance in a multicenter study.

中文翻译：

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使用心电图检测电解质失衡的人工智能

电解质失衡的检测和监测对于许多代谢疾病的适当管理至关重要；然而，没有任何工具可以可靠且无创地检测这种不平衡。在本研究中，我们开发了一种使用心电图 (ECG) 检测电解质失衡的深度学习模型 (DLM)，并在多中心研究中验证了其性能。