Driven by our partnership with clinicians, we are proud to introduce the next evolution of the CardioCare program, designed to have a profound effect on hospitals, health systems and patients

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AIMed Cardiology: Journal Club

A review of the top 3 AI in cardiology papers of the past year.   1. Zimmerman A et al. Usefulness of Machine Learning in COVID-19 for the Detection and Prognosis of Cardiovascular  Complications.Review in Cardiovascular Medicine 2020. Machine learning can be used to assess massive quantities o

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AIMed Cardiology November 2020: Key takeaways

1. Artificial intelligence in cardiology is more than using deep learning for cardiovascular imaging interpretation and can be extended into wearable technology (edge AI), administrative tasks (robotic process automation), and decision making (recurrent neural network for time series data). 2. In wo

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Once we implement AI in Cardiology, what will happen next?

Cardiology is no stranger to artificial intelligence (AI). It’s getting more common to deploy machine learning to interpret electrocardiograms (ECGs) for its potential to assist physicians during invasive electrophysiology procedures

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Get EHRs to work in the best interests of AI development

“I am formally trained as a cardiac-electrophysiologist and for the past 40 years I have prescribed a medication known as Amiodarone. This medication interacts with almost every other drug; especially the blood thinner, Warfarin, which is meant to prevent stokes from  atrial fibrillation. Despite pr

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