eMurmur ID vs inHEART Models

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.
by eMurmur
VS
by inHEART

AI Verdict

eMurmur ID focuses on AI-powered detection and classification of heart murmurs using electronic stethoscope data, providing decision support for general cardiology and primary care. In contrast, inHEART Models utilizes AI to create detailed 3D digital twin models from CT/MR images, specifically for optimizing the planning and execution of cardiac ablation procedures. While both are cardiology AI tools, their distinct data inputs and clinical applications cater to different stages of patient care and specialized needs.

Choose eMurmur ID if…

Choose eMurmur ID if you require an AI-powered mobile and cloud solution for real-time detection and classification of heart murmurs during routine patient examinations or telehealth consultations. This tool is ideal for general practitioners, pediatricians, or cardiologists seeking immediate decision support to identify and differentiate between pathologic and innocent murmurs using a third-party electronic stethoscope.

View eMurmur ID →

Choose inHEART Models if…

Choose inHEART Models if you are an electrophysiologist or interventional cardiologist requiring highly detailed, AI-driven 3D digital twin models of the heart for optimizing complex cardiac ablation procedures. This cloud-based software is best suited for pre-procedural planning, allowing for precise anatomical understanding and seamless integration with electroanatomic mapping systems to potentially reduce procedure times and recurrence rates.

View inHEART Models →

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Quick Comparison

Feature eMurmur ID inHEART Models
Pricing Unknown Contact for pricing
Deployment Cloud, Mobile, API integration Cloud-based
BAA Available Yes AI-estimated Unknown
FDA Status Cleared AI-estimated Cleared AI-estimated
HIPAA Yes AI-estimated Unknown

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 ID

eMurmur ID (Tool A) offers a mobile app with real-time feedback, designed for quick, point-of-care diagnostics using third-party stethoscopes. This mobile-first approach for a common diagnostic task makes it more broadly accessible and immediately usable for a wider range of healthcare providers compared to a specialized 3D modeling tool.

Clinical Value

inHEART Models

inHEART Models (Tool B) provides an AI-driven digital twin for optimizing complex cardiac ablation procedures, with claims of reducing VT procedure times by 60% and recurrence rates by 38%. While eMurmur ID offers valuable diagnostic support, the quantifiable and significant impact on high-stakes interventional procedures demonstrates a higher level of clinical impact for inHEART Models.

Pricing & Value

Tie

Both eMurmur ID and inHEART Models require direct vendor contact for pricing information, with no publicly disclosed details. Without transparent pricing, it is impossible to conduct a meaningful head-to-head comparison of their respective value propositions.

Enterprise Readiness

eMurmur ID

eMurmur ID (Tool A) explicitly states HIPAA compliance and BAA readiness, and offers flexible deployment options including mobile, cloud, on-premise, and hybrid. In contrast, inHEART Models (Tool B) infers HIPAA and BAA readiness based on FDA clearance and SOC2 compliance, and is solely cloud-based, making Tool A more explicitly prepared for diverse enterprise IT environments.

Innovation

inHEART Models

inHEART Models (Tool B) leverages AI to create a highly detailed, interactive 'digital twin' of the heart for optimizing complex surgical planning, with claims of significant impact on procedural efficiency and patient outcomes. This represents a more advanced and transformative application of AI in cardiology compared to eMurmur ID's AI-powered real-time heart murmur detection.

Support & Docs

Tie

Neither eMurmur ID nor inHEART Models provide sufficient public information regarding their specific support offerings, documentation availability, or service level agreements. While eMurmur ID mentions 'comprehensive training and ongoing support', neither tool offers enough detail to distinguish a winner in this dimension.

Feature-by-Feature

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

Feature eMurmur ID inHEART Models
Name eMurmur ID inHEART Models
Company CSD Labs GmbH inHEART
Description AI-powered mobile and cloud solution for detecting and classifying heart murmurs using a third-party electronic stethoscope, providing decision support for healthcare providers. inHEART Models is an AI-driven software that creates detailed 3D digital twin models of the heart from CT/MR images, optimizing planning and execution of image-guided cardiac ablation procedures.
Key Features AI-based analytics for heart murmur detection and classification; Mobile app for recording and displaying heart sounds; Web portal for data management and review; Operates with 3rd party electronic stethoscopes (e.g., Littmann 3200, Thinklabs One); Identifies pathologic and innocent heart murmurs, absence of murmur, S1, S2 heart sounds; Real-time feedback/analysis results within seconds; Patient data management; Clinical decision support AI-driven digital twin of the heart; Automated segmentation of CT and MR images; Highly detailed, interactive 3D cardiac models; Pre-procedural planning and optimization of treatment strategies; Seamless integration with major electroanatomic mapping (EAM) systems (Cartou00ae, Rhythmiau2122, Ensiteu2122, Afferau2122); Potential to reduce VT procedure times by 60%; Potential to reduce VT recurrence rates by 38%; Cloud-based platform for interactive exploration
Categories Cardiology AI, Clinical Decision Support & Reference Cardiology AI, Radiology & Imaging AI, Surgical AI
Specialties Cardiology, Family Medicine, Pediatrics Cardiology, Radiology

Videos

Demos, reviews, and walkthroughs featuring eMurmur ID and inHEART Models.

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

View all on YouTube

Frequently Asked Questions

eMurmur ID is an AI-powered mobile and cloud solution designed for detecting and classifying heart murmurs using a third-party electronic stethoscope, providing decision support for healthcare providers. In contrast, inHEART Models is an AI-driven software that creates detailed 3D digital twin models of the heart from CT/MR images, optimizing planning and execution of image-guided cardiac ablation procedures.
eMurmur ID processes heart sound recordings obtained via third-party electronic stethoscopes, such as the Littmann 3200 or Thinklabs One. inHEART Models utilizes DICOM compliant CT and MR imaging data to construct detailed 3D cardiac models.
eMurmur ID is designed to support Cardiology, Family Medicine, and Pediatrics. inHEART Models is primarily for Cardiology and Radiology.
eMurmur ID uses AI-based analytics to detect and classify heart murmurs, providing real-time feedback and decision support within seconds. inHEART Models employs AI-driven automated segmentation of CT and MR images to create highly detailed, interactive 3D digital twin models of the heart for pre-procedural planning and optimization of cardiac ablation strategies.
eMurmur ID operates with third-party electronic stethoscopes and provides real-time feedback via a mobile app and web portal, supporting both synchronous and asynchronous auscultation workflows. inHEART Models offers seamless integration with major electroanatomic mapping (EAM) systems, including Cartou00ae, Rhythmiau2122, Ensiteu2122, and Afferau2122, for pre-procedural planning and use during ablation procedures.
AI Tool Finder
AI-powered search. Results may not be comprehensive.