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Cardiology collaboration advances machine learning predictions for AFib after stroke

Medical Xpress

Researchers at Penn State are using machine learning and existing electrocardiogram (ECG) data to help doctors make more accurate predictions.

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1 in 10 cardiology trainee doctors in UK say they have been bullied

Scienmag

One in 10 junior doctors training to be cardiologists in the UK, say they have been bullied, reveal the results of a survey published online in the journal Heart. Bullying of junior doctors […].

Doctors 62
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Heart-related side effects of cancer treatment must be addressed as early as possible, experts say

Medical Xpress

The devastating news of a cancer diagnosis understandably makes doctors and patients focus on the cancer itself.

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AI supports doctors' hard decisions on cardiac arrest

Medical Xpress

When patients receive care after cardiac arrest, doctors can now—by entering patient data in a web-based app—find out how thousands of similar patients have fared.

Doctor 73
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Prescribing of key heart failure medications improved with tailored digital alerts

Medical Xpress

Doctors who received customized electronic health record (EHR) alerts for specific patients were 2.5 Doctors who received customized electronic health record (EHR) alerts for specific patients were 2.5

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Doctor Finds ‘Energizing’ Second Career as PI

Velocity Clinical Research

Currently, he serves on multiple journal editorial boards focusing on Cardiology and Lipidology and has been published in dozens of peer-reviewed publications, books, and abstracts. The post Doctor Finds ‘Energizing’ Second Career as PI appeared first on Velocity Clinical Research.

Doctors 52
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Tools to predict stroke risk work less well for Black patients, study finds

STAT News

Stroke risk prediction tools are meant to guide how doctors approach a potentially deadly condition, using factors like heart disease and high blood pressure to get a handle on which patients might benefit from a particular treatment.

Doctor 116