About this Research Topic
Electrocardiogram (ECG) has been a cornerstone of cardiovascular assessment for decades. The use of ECG in detecting heart disease and arrhythmias is well-established. Nevertheless, ECG has a much broader utility than just diagnosing heart disease. Recent research suggest that ECG can also be used as a predictive tool for a variety of diseases beyond cardiovascular disease, including cerebrovascular, neuro-cognitive, and kidney diseases. For this research topic collection, we would like to invite Original Research, Review, Perspective, and Opinion articles exploring the predictive ability of ECG for different diseases and conditions. Articles looking at novel approaches of using ECG data (e.g., AI, deep/machine learning) and the practical implementation of such approaches are particularly welcome. We would also welcome articles looking at factors (genetic, environmental, etc) that influence ECG phenotypes. The ultimate goal for this proposed research topic collection is to provide a comprehensive view of the current state of knowledge on the utility of ECG in predicting diseases and mortality.
Keywords: Electrocardiogram, Predication; Cardiovascular Diseases, Prediction, Renal Diseases, Cerebrovascular Diseases, Neuro-Cognitive diseases, kidney diseases
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
