KardiaAI vs eMurmur Heart AI

Similar category, different focus. These tools serve overlapping but distinct needs. Comparability 65/100 Comparability is an AI-graded 0–100 score of how directly these two tools compete — higher means a more apples-to-apples comparison.
by AliveCor
VS
by eMurmur

AI Verdict

KardiaAI specializes in analyzing ambulatory ECG rhythms to detect electrical cardiac conditions like AFib, whereas eMurmur Heart AI focuses on the automated analysis of heart and lung sounds to identify murmurs and provide hemodynamic insights. While both serve cardiology and internal medicine, they utilize fundamentally different data types (ECG vs. auscultation) for distinct diagnostic purposes, making them complementary rather than direct competitors.

Choose KardiaAI if…

Choose KardiaAI if your primary need is an FDA-cleared AI library for precise, automated analysis of ambulatory ECG rhythms. This tool is ideal for integrating into existing ECG devices or software platforms to detect specific cardiac conditions such as AFib, bradycardia, tachycardia, and various ectopies with medical-grade accuracy. It excels in scenarios requiring robust, AI-driven ECG interpretation at scale.

View KardiaAI →

Choose eMurmur Heart AI if…

Choose eMurmur Heart AI if your focus is on automated analysis of heart and lung sounds for murmur detection and hemodynamic insights. This platform is particularly well-suited for telehealth, remote monitoring, and general practice settings where screening for cardiac murmurs and tracking changes in auscultation data over time is crucial. It offers hardware-neutral compatibility with digital stethoscopes for comprehensive auscultation data management.

View eMurmur Heart AI →

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Quick Comparison

Feature KardiaAI eMurmur Heart AI
Pricing Subscription-based for advanced features and services. Contact for quote
Deployment Mobile app, cloud-based. Web-based, Mobile App, API integration
BAA Available Yes AI-estimated Yes AI-estimated
FDA Status Cleared AI-estimated Cleared AI-estimated
HIPAA Yes AI-estimated Yes AI-estimated

Head-to-Head

AI-generated assessment across six dimensions based on each tool's documented features and compliance posture. Grounded in public data — not a substitute for hands-on evaluation.

Usability

eMurmur Heart AI

eMurmur Heart AI provides a complete, user-facing platform with dedicated mobile and web applications, including features like live streaming and remote auscultation, which directly enhance clinical workflow and user interaction. While KardiaAI powers user-friendly devices and services, its description as an 'API library' suggests its direct usability depends on integration, whereas eMurmur offers a more out-of-the-box solution for end-users.

Clinical Value

eMurmur Heart AI

While both tools offer significant clinical value with FDA clearance in their respective domains, eMurmur Heart AI provides a broader diagnostic scope by analyzing both heart and lung sounds, including detection of murmurs, crackles, and wheezes. This comprehensive auscultation analysis, coupled with hemodynamic insights, offers a wider range of clinical utility compared to KardiaAI's focus primarily on ECG rhythm analysis.

Pricing & Value

KardiaAI

KardiaAI offers clear, transparent, and publicly available subscription pricing for its services, allowing potential users to easily understand the cost and assess its value proposition. In contrast, eMurmur Heart AI requires direct contact for pricing, which lacks transparency and makes it challenging to compare costs or evaluate overall value without additional steps.

Enterprise Readiness

KardiaAI

KardiaAI's deployment as an 'API library integrated into mobile apps and web platforms' offers significant flexibility for enterprises to embed its AI capabilities directly into their existing systems and workflows, facilitating custom solutions. While eMurmur Heart AI also demonstrates enterprise readiness with its cloud-based platform and hardware neutrality, the API-first approach of KardiaAI provides a more adaptable foundation for diverse enterprise integration strategies.

Innovation

eMurmur Heart AI

eMurmur Heart AI demonstrates higher innovation by combining automated heart and lung sound analysis with advanced features like hemodynamic insights derived from auscultation data, and live streaming for remote telehealth consultations. This comprehensive approach significantly advances the capabilities of digital auscultation beyond simple sound detection, offering a more dynamic and insightful diagnostic tool.

Support & Docs

KardiaAI

AliveCor, the company behind KardiaAI, has a well-established and publicly accessible support infrastructure, including extensive FAQs, user manuals, and direct contact options, largely due to its significant direct-to-consumer presence with Kardia devices. While CSD Labs likely offers support for eMurmur Heart AI, the breadth and accessibility of support and documentation are more evident for KardiaAI through its established brand and user base.

Feature-by-Feature

Detail beyond the Quick Comparison summary. For pricing, deployment, BAA, FDA, and HIPAA see the Overview tab.

Feature KardiaAI eMurmur Heart AI
Name KardiaAI eMurmur Heart AI
Company AliveCor CSD Labs
Primary Analysis Focus AI software library for analyzing ambulatory ECG rhythms AI-powered software platform for automated analysis of heart and lung sounds
Key Detections/Insights Detection of atrial fibrillation, bradycardia, tachycardia, normal sinus rhythm, Sinus Rhythm with Premature Ventricular Contractions (PVCs), Sinus Rhythm with Wide QRS, Sinus Rhythm with Supraventricular Ectopy (SVE), ECG noise filtering and noisy ECG detection. 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), Live streaming and remote auscultation, Recording, secure storage, and playback of auscultation data, Comparison of current and previous auscultation data.
Supported Specialties Cardiology, Emergency Medicine, Internal Medicine Cardiology, Internal Medicine, Pulmonology

Videos

Demos, reviews, and walkthroughs featuring KardiaAI and eMurmur Heart AI.

Loading videos…
Videos need JavaScript to load. Search YouTube directly →

View all on YouTube

Frequently Asked Questions

KardiaAI offers an API library for integration into existing ECG devices and software, and partners with leading EHR systems like Epic and GE Healthcare's MUSEu2122 NX to automatically pull ECGs into patient records. This allows for streamlined workflows by embedding AI analysis directly within current systems and providing easy access to medical-grade heart data. eMurmur Heart AI provides mobile apps and a web portal, supporting live streaming and remote auscultation, and enables integration into electronic patient files and hospital information systems via its web portal and secure API. Its hardware-neutral compatibility also facilitates integration with various digital stethoscopes and telehealth platforms.
KardiaAI is noted for its 'medical-grade accuracy for heart rhythm data', with studies showing a pooled sensitivity of 94% and specificity of 96.8% for AFib detection with Kardia Mobile. A meta-analysis also reported a pooled sensitivity of 0.96 and specificity of 0.97 for AF detection. eMurmur Heart AI has demonstrated a sensitivity of 93% and specificity of 81% for detecting pathologic heart murmurs in a virtual clinical trial, with an accuracy of 88%. Other studies have shown approximately 90% sensitivity and specificity when compared with cardiologist interpretation and echocardiography.
KardiaAI is best suited for Cardiology, Emergency Medicine, and Internal Medicine, focusing on the electrical activity of the heart to detect arrhythmias like AFib, bradycardia, tachycardia, PVCs, and wide QRS, and can also aid in early detection of long QT syndrome. It is valuable for diagnosing and monitoring cardiac rhythm disorders. eMurmur Heart AI caters to Cardiology, Internal Medicine, and Pulmonology, specializing in the acoustic analysis of heart and lung sounds to detect murmurs, crackles, and wheezes, and provides hemodynamic insights. It is beneficial for screening, monitoring, and remote consultation for mechanical heart and lung conditions, serving as a useful screening tool for heart disease.
For KardiaAI, as an API library, the direct user learning curve for physicians would depend on the integrated application, with training focusing on interpreting its rhythm analysis outputs. AliveCor provides an SDK with comprehensive technical documentation for developers. eMurmur Heart AI, with its mobile app and web portal, would involve familiarization with its user interface for recording, analyzing, and reviewing auscultation data. eMurmur offers dedicated teaching and training apps, eMurmur University and eMurmur Primer, to help users learn and refresh their auscultation skills.
KardiaAI's integration with EHR systems like Epic allows KardiaMobile ECGs to be analyzed, interpreted, and recorded into the patient's medical record for robust documentation and treatment decision-making, which inherently supports an audit trail. eMurmur Heart AI offers robust features for recording, secure storage, and playback of auscultation data. It also provides the capability to compare current and previous auscultation data for monitoring patient progress over time, supporting longitudinal clinical decision-making.
KardiaAI's API library deployment model offers flexibility for multi-site integration into various existing ECG devices and software, with scalability dependent on the underlying systems it integrates with. Its EHR integration capabilities, including with Epic, are designed to support end-to-end cardiac management across healthcare systems. eMurmur Heart AI, being cloud-based with web and mobile applications, is inherently designed for scalable multi-site deployment, facilitating live streaming and remote auscultation across different locations. This allows for centralized data access and management across distributed clinical environments.

Backers

Who funded each tool's parent company.

AI Tool Finder
AI-powered search. Results may not be comprehensive.