Key result
Deep learning models may improve timely AMI detection and support reperfusion therapy initiation by EMS.
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A deep learning model may serve as a decision support tool to assist frontline physicians in detecting acute myocardial infarction and initiating reperfusion therapy.
The DLM may serve as a timely, objective and precise diagnostic decision support tool to assist emergency medical system-based networks and frontline physicians in detecting AMI and subsequently initiating reperfusion therapy.
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Liu et al. (2021) studied this question. The deep learning model may improve the timely detection of acute myocardial infarction and support the initiation of reperfusion therapy by emergency medical teams.
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