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Cardiology and big data: a call for papers
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2
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2021
Jahr
Abstract
The Lancet and The Lancet Digital Health are seeking research Articles on big data and cardiology. We are interested in research that uses artificial intelligence to analyse data, such as echocardiograms, electrocardiograms, and physiological measurements from wearable devices, to predict risk factors and provide recommendations for early diagnosis and prognosis of cardiovascular diseases. We welcome submissions for consideration to both journals and we will consider high-quality original research papers that have the potential to influence clinical practice, especially those that describe the results of randomised trials and interdisciplinary research that provide a deeper understanding of diagnosis, management, and prevention of cardiovascular diseases. If your paper is accepted, online first publication can be scheduled to coincide with presentation at a relevant conference, such as the American Heart Association Scientific Sessions on Nov 13–15, 2021. Please submit your paper via the online submission system for The Lancet or The Lancet Digital Health and state in your covering letter that the submission is in response to this call for papers. The deadline for submissions is May 31, 2021. We declare no competing interests. Cardiology and big data: a call for papersThe Lancet and The Lancet Digital Health are seeking research Articles on big data and cardiology. We are interested in research that uses artificial intelligence to analyse data, such as echocardiograms, electrocardiograms, and physiological measurements from wearable devices, to predict risk factors and provide recommendations for early diagnosis and prognosis of cardiovascular diseases. We welcome submissions for consideration to both journals and we will consider high-quality original research papers that have the potential to influence clinical practice, especially those that describe the results of randomised trials and interdisciplinary research that provide a deeper understanding of diagnosis, management, and prevention of cardiovascular diseases. Full-Text PDF
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