Eko Murmur Analysis Software (EMAS) vs Us2.v2
Similar category, different focus. These tools serve overlapping but distinct needs.
Comparability 60/100
Comparability is an AI-graded 0–100 score of how directly these two tools compete — higher means a more apples-to-apples comparison.
AI Verdict
Eko Murmur Analysis Software (EMAS) focuses on AI-powered heart murmur detection using digital stethoscopes for early screening and clinical decision support. In contrast, Us2.v2 automates the comprehensive interpretation and reporting of echocardiograms, delivering detailed measurements and disease detection. While both are cardiology AI tools, they serve different diagnostic stages and utilize distinct input modalities, making them adjacent rather than direct competitors.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Frequently Asked Questions
EMAS is an FDA-cleared AI tool that integrates with Eko digital stethoscopes to detect and differentiate heart murmurs in adult and pediatric patients, providing clinical decision support for early detection of heart and lung disease. Us2.v2 is an FDA-cleared, AI-powered tool that automates echocardiogram interpretation, delivering a complete structured echo report with measurements, disease detection, and clinical findings, making heart risk detection more accurate, consistent, and accessible worldwide.
EMAS analyzes heart sound (PCG) and optional ECG data, requiring integration with Eko digital stethoscopes (CORE 500, DUO, CORE). Us2.v2 processes transthoracic cardiac ultrasound images and is compatible with any ultrasound manufacturer (e.g., GE, Philips, Siemens, handheld POCUS).
EMAS generates PDF reports that are EHR compatible for sharing. Us2.v2 integrates seamlessly with existing PACS, CVIS, or EMR systems, supporting HL7 and DICOM SR.
EMAS is intended for use on adult and pediatric patients across cardiology, internal medicine, and pediatrics for early murmur detection and differentiation. Us2.v2 is designed for use in adult patients and is primarily focused on cardiology, automating echocardiogram interpretation for conditions like cardiac amyloidosis, aortic stenosis, heart failure, pulmonary hypertension, and valvular disease.