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Predicting cardiac arrhythmia 30 minutes before it happens

Science Daily - Heart Disease

Atrial fibrillation is the most common cardiac arrhythmia worldwide with around 59 million people concerned in 2019. These results pave the way for integration into wearable technologies, allowing early interventions and better patient outcomes. It gives early warnings on average 30 minutes before onset, with an accuracy of around 80%.

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HeartBeam Presents Positive Results on its Artificial Intelligence Capabilities for Detecting Arrhythmias

DAIC

The data was presented by Vivek Reddy , MD, Director of Cardiac Arrhythmia Services at The Mount Sinai Hospital , during the European Heart Rhythm Association (EHRA) conference in Berlin, Germany. The technology is designed to be used in HeartBeam’s small, portable, patient-friendly devices that allow for remote cardiac monitoring.

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iRhythm Unveils New Data Demonstrating Benefits of Long-Term Continuous Monitoring for Arrhythmia Detection

DAIC

tim.hodson Mon, 03/31/2025 - 15:02 March 31, 2025 iRhythm Technologies, Inc. arrhythmia yield versus 69.1% in daily-symptom patients, demonstrating that greater symptom frequenc y does not necessarily reflect increased arrhythmia burden. arrhythmia yield versus 69.1% Drawing on data from more than 1.1

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CTA and ACC Collaborate to Tackle Cardiovascular Disease with Technology

DAIC

milla1cf Wed, 02/07/2024 - 18:05 February 7, 2024 — The Consumer Technology Association ( CTA ) and the American College of Cardiology ( ACC ) are announcing the release of their second industry framework for the use of consumer cardiovascular technology solutions in the screening and diagnosis for cardiovascular conditions.

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Penn Presbyterian Medical Center Becomes First Hospital in the Northeast to Adopt Advanced Robotic Technology for Heart Treatment

DAIC

Genesis is the latest advancement in Robotic Magnetic Navigation technology. Robotic Magnetic Navigation introduces the benefits of robotic precision and safety to cardiac ablation, a common minimally invasive procedure to treat arrhythmias.

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Baptist Health Lexington Enhances 20-Year Leadership in Pioneering Advanced Robotic Technology for Heart Disease Patients

DAIC

The robotic technology represented an entirely novel way to address heart rhythm disorders in a minimally invasive procedure with the benefits of robotic precision and safety. Many technologies come and go, but this is an example of a system that has continued to advance due to the clinical value in enabling safe and reliable treatment.”

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HeartBeam’s Artificial Intelligence Algorithm Combined with Vectorcardiography (VCG) Outperforms Expert Cardiologists in Detecting Arrhythmias

DAIC

a medical technology company focused on transforming cardiac care through the power of personalized insights, today announced new study data demonstrating that HeartBeam AI combined with vectorcardiography (VCG) outperformed an expert panel of heart rhythm cardiologists in detecting atrial flutter. for HeartBeam AI+VCG vs. 69.4%