Diagnostic Techniques and Procedures: News and Research on Electrodiagnosis

MeSH tree: E01.370.405

AI models comb patient data to predict cardiac arrest risk

Researchers have developed artificial intelligence (AI) models that can scrutinize electronic health records (EHR) and electrocardiograms to identify individuals in the general population at elevated risk for sudden cardiac ...

Lithium may help curb impulsive decisions tied to suicide risk

A new study finds that brain electrical activity tied to impulsive decision-making—a key contributor to suicide risk—changes after lithium treatment in people who have survived a life-threatening suicide attempt. The findings ...

AI model could warn of cardiac arrest 10 to 15 minutes early

Perelman School of Medicine cardiologist Rajat Deo has been studying electrocardiographic (ECG) data and cardiac rhythms for nearly two decades at Penn. He says that every second, hospitals generate "enormous streams of ECG ...

Say Cheese3D: A new model can help track facial expressions

Love, pain, joy, fear, desire: the full spectrum of emotion resides in facial expression. We grasp this almost intuitively. However, we still lack a quantifiable understanding of the nuanced relationship between the face ...

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