Autoplaque vs inHEART Models
AI Verdict
Choose Autoplaque if…
Choose Autoplaque if your primary objective is to perform quantitative analysis of coronary plaques and luminal stenoses from CT angiography images. This tool is ideal for aiding in heart attack risk prediction and guiding non-invasive treatment strategies by providing detailed, AI-powered insights into atherosclerotic plaque characteristics.
View Autoplaque →Choose inHEART Models if…
Choose inHEART Models if you need to create highly detailed 3D digital twin models of the heart from CT/MR images for optimizing the planning and execution of image-guided cardiac ablation procedures. This cloud-based solution is particularly beneficial for electrophysiologists aiming to enhance procedural efficiency and improve patient outcomes through advanced pre-procedural visualization and integration with electroanatomic mapping systems.
View inHEART Models →Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Quick Comparison
| Feature | Autoplaque | inHEART Models |
|---|---|---|
| Pricing | Unknown | Contact for pricing |
| Deployment | Workstation-based post-processing application, runs on Windows or Mac OS. | Cloud-based |
| FDA Status | Cleared AI-estimated | Cleared 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
inHEART ModelsinHEART Models offers superior usability due to its cloud-based platform, enabling interactive exploration and accessibility from various devices. Crucially, it provides seamless integration with major electroanatomic mapping (EAM) systems, streamlining complex interventional cardiology workflows.
Clinical Value
inHEART ModelsWhile both tools are FDA-cleared and clinically validated, inHEART Models demonstrates a more direct and quantifiable impact on patient outcomes for complex procedures. It has shown the potential to reduce VT procedure times by 60% and recurrence rates by 38%, significantly improving efficiency and efficacy in high-stakes cardiac ablations.
Pricing & Value
inHEART ModelsDirect pricing for both tools is not publicly disclosed, making a direct cost comparison impossible. However, inHEART Models has a specific CMS reimbursement code (C9793) with an allowed amount of $996.18 for 3D predictive model generation, which provides a clear pathway for reimbursement and indicates recognized value by CMS.
Enterprise Readiness
inHEART ModelsinHEART Models is cloud-based, offering inherent scalability and easier management for large healthcare systems, and explicitly mentions SOC2 compliance, suggesting robust data security and HIPAA readiness. Its proven integration with major EAM systems and reported use in over 300 partner hospitals further demonstrates strong enterprise readiness.
Innovation
inHEART ModelsinHEART Models exhibits a higher degree of innovation with its 'AI-enabled digital twin of the heart' concept, providing highly detailed, interactive 3D cardiac models for optimizing complex ablation procedures. Its 'first-of-its-kind' fully automated CT image segmentation for 3D cardiac models represents a significant advancement in interventional cardiology.
Support & Docs
TieNeither the provided structured facts nor the web search results offer sufficient specific information regarding customer support channels, service level agreements, or comprehensive public documentation for either Autoplaque or inHEART Models to differentiate between them.
Feature-by-Feature
Detail beyond the Quick Comparison summary. For pricing, deployment, BAA, FDA, and HIPAA see the Overview tab.
| Feature | Autoplaque | inHEART Models |
|---|---|---|
| Name | Autoplaque | inHEART Models |
| Company | Cedars-Sinai Medical Center: AIM | inHEART |
| Description | Autoplaque, developed by Cedars-Sinai AIM, is an FDA-cleared AI-powered software for quantitative analysis of coronary plaques and luminal stenoses from CT angiography images, aiding in heart attack risk prediction and treatment guidance. | 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-powered quantitative analysis of atherosclerotic plaque; Detection and characterization of coronary artery plaque; Measurement of luminal stenoses; Analysis of coronary anatomy and pathology from CT Angiographic images; Workstation-based post-processing application; Automated vessel, plaque, and lumen segmentation (reviewable and editable by clinician); Review of heart and coronary vessels in Multiplanar Reformatting (MPR), curved MPR, and straightened MPR views; Measurement of vessel diameter and area | 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 |
Videos
Demos, reviews, and walkthroughs featuring Autoplaque and inHEART Models.