inHEART Models vs qXR-CTR

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 inHEART
VS
by Qure.ai

AI Verdict

Tool A, inHEART Models, is designed for advanced pre-procedural planning and execution of cardiac ablation procedures using detailed 3D digital twin models from CT/MR images. In contrast, Tool B, qXR-CTR, focuses on automating the measurement of the cardiothoracic ratio from chest X-ray images for initial assessment of heart size and potential heart failure risk. While both operate in cardiology and radiology AI, their distinct input modalities (CT/MR vs. X-ray) and clinical applications (interventional planning vs. diagnostic screening) make them adjacent rather than direct competitors.

Choose inHEART Models if…

Choose inHEART Models if your clinical practice requires highly detailed, patient-specific 3D cardiac models for advanced pre-procedural planning and optimization of complex image-guided cardiac ablation procedures. This tool is ideal for electrophysiologists seeking to reduce procedure times and recurrence rates for conditions like ventricular tachycardia through precise anatomical understanding and seamless integration with existing electroanatomic mapping systems.

View inHEART Models →

Choose qXR-CTR if…

Choose qXR-CTR if your primary need is rapid, automated assessment of heart size and potential heart failure risk from standard chest X-ray images. This AI-powered solution is best suited for high-volume screening environments or initial diagnostic evaluations where a quick, objective measurement of the cardiothoracic ratio can aid in identifying patients who may require further cardiac investigation.

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Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Quick Comparison

Feature inHEART Models qXR-CTR
Pricing Contact for pricing Unknown
Deployment Cloud-based Can be deployed on cloud or on-premise. The Qure.ai app receives DICOM studies via DICOM network protocol from medical systems (PACS/Modality) or can import DICOM from the local system. The received DICOM study is processed in Qure's cloud server, and AI-processed reports are displayed on the app.
FDA Status Cleared AI-estimated Cleared AI-estimated
HIPAA Unknown 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

qXR-CTR

Tool B offers broader platform compatibility, supporting Web, iOS, Android, Windows, macOS, and Linux, along with multilingual UI and reporting, suggesting wider accessibility. While Tool A provides interactive 3D models and a straightforward interface, it has reported limitations with certain EAM systems and offline access, which could hinder its usability in some clinical scenarios.

Clinical Value

inHEART Models

Tool A demonstrates higher clinical value by directly impacting complex interventional procedures, with claims of significantly reducing VT procedure times by 60% and recurrence rates by 38%. While Tool B offers valuable diagnostic aid and workflow efficiency for heart failure risk assessment, its impact is less direct on patient treatment outcomes compared to Tool A's claims.

Pricing & Value

inHEART Models

Both tools lack public pricing transparency, making a direct cost comparison impossible. However, Tool A benefits from a specific CMS reimbursement code (C9793) with an associated allowed amount, providing a clearer pathway for financial value realization for healthcare providers. This established reimbursement mechanism gives Tool A a slight advantage in terms of perceived value.

Enterprise Readiness

qXR-CTR

Tool B explicitly states BAA and HIPAA compliance and offers flexible deployment options including cloud, on-premise, and hybrid. Its extensive list of integration partners and comprehensive security features demonstrate a stronger readiness for diverse enterprise environments. Tool A's cloud-only deployment and reported data governance challenges for some hospitals indicate slightly less flexibility.

Innovation

inHEART Models

Tool A represents a higher degree of innovation by creating a sophisticated 'digital twin of the heart' for complex, personalized pre-procedural planning and optimization of cardiac ablation procedures. This goes beyond automated measurement to provide a comprehensive, interactive 3D model for interventional guidance. Tool B's automation of CTR, while valuable, is a more focused application of AI.

Support & Docs

qXR-CTR

Tool B clearly outlines a comprehensive set of support channels including email, phone, chat, ticketing, community, and 24x7 availability, along with various training options and a user manual. Tool A provides no explicit information on its support and documentation within the provided facts or search results, making Tool B the clear 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 inHEART Models qXR-CTR
Name inHEART Models qXR-CTR
Company inHEART Qure.ai Technologies
Description 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. AI-powered software by Qure.ai that automates the measurement of the cardiothoracic ratio (CTR) from chest X-ray images, aiding in the assessment of heart size and potential heart failure risk.
Key Features 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 AI-powered Chest X-ray Solution for Automated Cardiothoracic Ratio Assessment.

Videos

Demos, reviews, and walkthroughs featuring inHEART Models and qXR-CTR.

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Frequently Asked Questions

inHEART Models is an AI-driven software designed to create detailed 3D digital twin models of the heart from CT/MR images, optimizing the planning and execution of image-guided cardiac ablation procedures. qXR-CTR is an AI-powered software that automates the measurement of the cardiothoracic ratio (CTR) from chest X-ray images, aiding in the assessment of heart size and potential heart failure risk.
inHEART Models utilizes CT or MR images to generate its detailed 3D cardiac models. qXR-CTR processes chest X-ray images for automated cardiothoracic ratio assessment.
inHEART Models offers seamless integration with major electroanatomic mapping (EAM) systems, including Cartou00ae, Rhythmiau2122, Ensiteu2122, and Afferau2122. The provided information for qXR-CTR does not explicitly detail its integration with specific clinical systems, but it is designed to integrate into existing radiology workflows.
inHEART Models has the potential to reduce VT procedure times by 60% and VT recurrence rates by 38%. qXR-CTR aids in the assessment of heart size and potential heart failure risk by providing automated cardiothoracic ratio measurements.
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