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Ensight-AI Awarded FDA’s Breakthrough Device Designation for Its ECGVision-TTR Technology for Early Detection of ATTR-Cardiomyopathy

DAIC

Food and Drug Administration’s ( FDA ) Breakthrough Device Designation for their ECGvision-TTR Technology for early detection of ATTR-Cardiomyopathy. Food and Drug Administration’s (FDA) Breakthrough Devices Program , which provides patients with timely access to innovative medical devices.

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Arrhythmogenic Cardiomyopathy: Towards Genotype Based Diagnoses and Management

Journal of Cardiovascular Electrophysiology

To improve arrhythmogenic cardiomyopathy (ACM) patient care four pillars of ACM research are necessary. Third, preclinical gene studies can improve ACM patient care to determine which vector has the optimal effect in which specific gene for gene therapy.

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Real-world Evidence at the American College of Cardiology Scientific Session 2024 Demonstrates Positive Impact of Viz.ai on Suspected Disease Detection and Patient Triage for Improved Care

DAIC

in clinical practice for patients with hypertrophic cardiomyopathy (HCM), a commonly inherited heart disease that often goes undetected. At Viz.ai, we invest in our algorithms to ensure the technology reliably detects suspected conditions, including HCM, and improves patient care and outcomes,” said Molly Madziva Taitt , Ph.D.,

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Smidt Heart Institute Experts Selected to Join JACC Editorial Team

DAIC

Previously, Kittleson was interim editor-in-chief of the Journal of Heart and Lung Transplantation and helped develop evidence-based cardiomyopathy and heart failure guidelines. She also has served on the board of directors of the Heart Failure Society of America.

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UltraSight Expands Access to Cardiac Monitoring with AI

DAIC

11, 2025 UltraSight, a company committed to enhancing the efficiency and productivity of cardiac ultrasound,recentlyannounced support from Bristol Myers Squibb (BMS) for a study that aims to improve access to echocardiographic assessments for patients with obstructive hypertrophic cardiomyopathy (oHCM).

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Real-world Evidence at the American College of Cardiology Scientific Session ACC.24 to Demonstrate Positive Impact of Viz.ai on Suspected Disease Detection and Patient Triage for Improved Care

DAIC

in clinical practice for patients with hypertrophic cardiomyopathy (HCM), a commonly inherited heart disease that often goes undetected. At Viz.ai, we invest in our algorithms to ensure the technology reliably detects suspected conditions, including HCM, and improves patient care and outcomes,” said Molly Madziva Taitt , Ph.D.,

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American College of Cardiology ACC.24 Late-breaking Science and Guidelines Session Summary

DAIC

24 and how those may impact clinical practice and patient care in this deep dive clinical trial session. 12:15 p.m. ET Murphy Ballroom 4 ACC.24 24 planners note that attendees can gain insights from key clinical trials presented at ACC.24 More information: www.acc.org If you enjoy this content, please share it with a colleague