eMurmur Heart AI
Overview
eMurmur Heart AI, developed by CSD Labs, is an advanced software platform designed to elevate the practice of auscultation by providing AI-powered analysis of heart and lung sounds. It functions as a clinical decision support tool, analyzing recorded heart sounds to identify the first (S1) and second (S2) heart sounds, and detect the presence or absence of abnormal heart murmurs. The platform also delivers hemodynamic insights by calculating the average loudness of individual heart sound components, including S1, systole, S2, and diastole, as well as their respective loudness ratios.
eMurmur is hardware-neutral and stethoscope agnostic, meaning it can be used with various commercially available digital stethoscopes, connecting via Bluetooth or audio cable to a mobile device or web portal. The system comprises a mobile app (iOS and Android) and a web portal, enabling clinicians to listen, record, stream, store, and analyze auscultation data. It supports both live listening during examinations and the capture and storage of recordings for later review, comparison over time, and remote consultation.
The AI-powered analysis aims to standardize auscultation, which has traditionally been subjective, and improve accuracy in screening for heart conditions. Clinical studies have demonstrated high sensitivity and specificity in differentiating pathologic from innocent heart murmurs. The platform offers features like PDF report generation and integration into electronic patient files and hospital information systems. Beyond heart sounds, eMurmur’s AI suite also provides detection of lung sound crackles and wheezes.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Automated heart and lung sound analysis (S1, S2, murmurs, crackles, wheezes)
- Detection and classification of pathologic and innocent heart murmurs
- Hemodynamic insights (loudness ratios of S1, systole, S2, diastole)
- Mobile app (iOS, Android) and web portal for access
- Hardware-neutral and stethoscope agnostic platform compatibility
- Live streaming and remote auscultation for telehealth
- Recording, secure storage, and playback of auscultation data
- Comparison of current and previous auscultation data for monitoring
- PDF report generation and EHR/EMR integration
- AI-powered clinical decision support
Use Cases
- Early and ongoing heart-health screening (pediatric, adult, elderly)
- Primary and specialty care auscultation support
- Telehealth and virtual visits for remote patient exams
- Pharmacy and community-based heart health screenings
- Home-health applications for remote monitoring
- Medical education and training for auscultation skills
What Physicians Need to Know
Utilize eMurmur Heart AI as a robust screening and decision support tool, especially for differentiating innocent from pathological murmurs. Leverage its objective data (heart rate, S1/S2, murmur characteristics) to complement your clinical assessment. Integrate the AI score and recording quality indicators into your workflow to ensure reliable interpretations. The eConsult feature can streamline specialist referrals by providing comprehensive, recorded auscultation data for review.
eMurmur Heart AI offers flexible integration options, including standalone web and mobile applications, and secure API integration for third-party systems. Its hardware-agnostic design allows compatibility with various digital stethoscopes. The ability to generate PDF reports and integrate with EHR/HIS facilitates seamless data flow and documentation within existing clinical IT infrastructure.
Details
| Category | Cardiology AI, Telehealth & Virtual Care |
| Pricing | Contact for pricing. — Contact for pricing. |
| Deployment | Cloud-based, Web application, Mobile app |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated eMurmur Heart AI is a Class II medical device cleared by the U.S. FDA 510(k) process (K252284). It performs automated heart sound analysis to identify S1 and S2 heart sounds, and detect the presence or absence of abnormal heart murmurs, including hemodynamic insights. It is intended as a decision support system for healthcare providers and not a sole means of diagnosis, cleared for use with any supported stethoscope. |
| Integrations | |
| EHR | Not specified |
| Specialties | Cardiology, Internal Medicine, Pulmonology |
What the Web Says
eMurmur Heart AI is a software platform that uses artificial intelligence to analyze heart sounds recorded by digital stethoscopes, aiming to improve the detection and classification of heart murmurs. It functions as a clinical decision support tool, providing automated analysis of heart sounds, identifying S1 and S2, and detecting the presence or absence of abnormal murmurs. The platform is FDA-cleared as a Class II medical device and is designed to support, not replace, clinical judgment.
Overall: PositiveStrengths
- High accuracy in detecting and classifying heart murmurs, with reported sensitivities and specificities around 90% in validation studies.
- Enhances diagnostic confidence and accuracy for healthcare providers, especially in telehealth settings and for non-specialists.
- Compatible with multiple digital stethoscope models, offering flexibility and avoiding vendor lock-in.
- Supports various use cases, including bedside auscultation, remote exams, community screenings, and integration into EHRs.
- Provides visual and auditory playback of heart sounds, which is valuable for patient education and collaborative care.
- Can reduce unnecessary referrals and identify more patients with mild or moderate/severe heart valve disease, as shown in a case study with community pharmacies.
Limitations
- Some healthcare providers may perceive high-tech solutions as unnecessary, preferring traditional stethoscopes.
- Requires compatible device operating systems and browser compatibility, which may necessitate IT considerations for deployment.
- The platform's advanced features, like structured storage and AI analysis, may be more beneficial in cardiology consult workflows than in primary care telehealth visits.
- Clinical acceptance of AI-assisted auscultation has been limited due to a lack of objective performance data in the past, though eMurmur has conducted validation studies.
- The heart sound interpretations are intended as decision support and are only significant when considered with a healthcare provider's over-read and other patient data, not as a sole means of diagnosis.
Based on reviews from: eMurmur Platform: Web-Based Cardiac Sound Analysis and Collaboration, FDA Clears AI-Powered Heart Murmur Detection Software | Medical Product Outsourcing, Pilot Study Results Support Efficacy of eMurmur Computer-Aided Auscultation Platform, Uncovering the invisible patients with heart valve disease - eMurmur, Case study eMurmur auscultation software enhances clinical confidence and diagnostic accuracy for Duke telehealth providers, Hey Doc, What's That Sound? FDA Clearance Broadens Scope Of AI Heart Murmur Detection Platform - Citeline Insights, Artificial Intelligence-Assisted Auscultation of Heart Murmurs: Validation by Virtual Clinical Trial - eMurmur, K220766 - Allison Komiyama - accessdata.fda.gov, FDA clears first AI-powered mobile app to catch heart murmurs | Fierce Biotech, eMurmur - App Store - Apple, December 19, 2025 Csd Labs Allison Komiyama VP, MedTech Innovation Rqm+ 2790 Mosside Blvd. #800 Monroeville, Pennsylvania 14, Deep Learning Algorithms to Detect Murmurs Associated With Structural Heart Disease - PMC, AI-Enhanced Detection of Heart Murmurs: Advancing Non-Invasive Cardiovascular Diagnostics - PMC, How to Use Al to Improve Heart Murmur Screening 4X with eMurmur - YouTube
Last updated: 2026-07-21
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