ECG data predicts deadly surgical complications (IMAGE)

Johns Hopkins University

ECG data predicts deadly surgical complications

Caption

Dr. Robert Stevens, chief of the Division of Informatics, Integration and Innovation at Johns Hopkins Medicine,  observes an electrocardiogram monitor.

Stevens’ team used artificial intelligence to extract previously undetected signals in these routine heart tests that strongly predict which patients will suffer potentially deadly complications after surgery.

Credit

Will Kirk/Johns Hopkins University

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