AT-Patch (ATP-C130/ATP-C70) vs Autoplaque

Loosely related. A direct comparison may be less useful — each tool solves a different problem. Comparability 40/100 Comparability is an AI-graded 0–100 score of how directly these two tools compete — higher means a more apples-to-apples comparison.
by ATsens Co.
VS
by APQ Health (formerly Cedars-Sinai Medical Center: AIM)

AI Verdict

AT-Patch is a wearable ECG monitor for continuous cardiac monitoring and arrhythmia detection, providing real-time data and long-term recording capabilities. Autoplaque, conversely, is AI-powered software that analyzes CT angiography images to quantify coronary plaques and luminal stenoses for heart attack risk prediction. While both are cardiology AI tools, their distinct data sources (ECG vs. CT angiography) and analytical focuses (arrhythmia detection vs. plaque quantification) make them suitable for different diagnostic stages and purposes.

Choose AT-Patch (ATP-C130/ATP-C70) if…

Choose AT-Patch if you require extended, continuous cardiac monitoring for arrhythmia detection in an ambulatory setting. Its lightweight, shower-proof design and up to 14 days of monitoring without intervention make it ideal for capturing intermittent or elusive cardiac events while patients maintain their daily activities.

View AT-Patch (ATP-C130/ATP-C70) →

Choose Autoplaque if…

Choose Autoplaque if you need AI-powered quantitative analysis of coronary plaques and luminal stenoses from CT angiography images. This tool is best suited for clinicians focused on detailed risk stratification for heart attack and guiding treatment decisions based on precise measurements of atherosclerotic burden.

View Autoplaque →

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Quick Comparison

Feature AT-Patch (ATP-C130/ATP-C70) Autoplaque
Deployment Wearable device for patients; analysis software deployed on-premise at medical institutions. Workstation-based post-processing application, runs on Windows or Mac OS.
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

AT-Patch (ATP-C130/ATP-C70)

AT-Patch appears to have a higher degree of patient-centric usability due to its wearable, shower-proof design, and companion smartphone app for live ECG viewing and symptom recording. Autoplaque, while offering automated analysis, is a workstation-based post-processing application requiring trained medical professionals, which suggests a more specialized and less broadly accessible user experience.

Clinical Value

Tie

Both tools offer significant clinical value within their respective domains. AT-Patch provides continuous, long-term ECG monitoring for arrhythmia detection, addressing the challenge of intermittent cardiac events. Autoplaque offers AI-powered quantitative analysis of coronary plaques from CT angiography, which is crucial for heart attack risk prediction and treatment guidance. Both are FDA-cleared and backed by clinical validation.

Pricing & Value

Tie

Neither company publicly discloses pricing information, making a direct comparison of pricing and value difficult. Both products are likely sold through direct sales to medical institutions, with costs varying based on institutional needs and agreements. Without transparent pricing, it's impossible to determine which offers better financial value.

Enterprise Readiness

Autoplaque

Autoplaque, as a workstation-based post-processing application that runs on Windows or Mac OS and exports DICOM image data, seems more inherently designed for integration into existing hospital radiology and cardiology workflows. AT-Patch's analysis software is deployed on-premise, but the wearable component and data transfer process might introduce different integration considerations for large-scale enterprise deployment.

Innovation

Tie

Both tools demonstrate significant innovation in their respective fields. AT-Patch offers a compact, long-duration wearable ECG monitor with integrated AI for arrhythmia detection. Autoplaque leverages advanced AI for automated, quantitative analysis of complex coronary plaque characteristics from CT angiography, a critical step in cardiovascular risk assessment.

Support & Docs

Tie

Specific details regarding the comprehensiveness of support and documentation for both AT-Patch and Autoplaque are not extensively available in the provided information or public web searches. Both are FDA-cleared medical devices, implying a certain standard of documentation and support, but a comparative assessment is not possible.

Feature-by-Feature

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

Feature AT-Patch (ATP-C130/ATP-C70) Autoplaque
Name AT-Patch (ATP-C130/ATP-C70) Autoplaque
Company ATsens Co. Cedars-Sinai Medical Center: AIM
Description FDA-cleared wearable ECG monitor offering up to 14 days of continuous cardiac monitoring with high accuracy, a shower-proof design, and integrated AI-powered analysis software for enhanced arrhythmia detection. 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.
Categories Cardiology AI, Wearables & Remote Monitoring (RPM) Cardiology AI, Radiology & Imaging AI
Specialties Cardiology, Family Medicine, Internal Medicine Cardiology, Radiology
Key Features Up to 14 days of continuous ECG monitoring (ATP-C130), High-performance sensor chip for accurate ECG signal acquisition, Short-length electrode to minimize motion artifact noise, Shower-proof design (IP57 for ATP-C130, IP44 for ATP-C70), No charging or electrode replacement required during monitoring, Compact and lightweight (13g) for patient comfort, AT-Note smartphone app for live ECG viewing and symptom recording, AT-Report software with AI/machine learning algorithms for ECG analysis 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

Videos

Demos, reviews, and walkthroughs featuring AT-Patch (ATP-C130/ATP-C70) and Autoplaque.

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

View all on YouTube

Frequently Asked Questions

AT-Patch is an ambulatory ECG monitor designed for continuous cardiac monitoring to detect arrhythmias for up to 14 days. Autoplaque is an AI-powered software for quantitative analysis of coronary plaques and luminal stenoses from CT angiography images, primarily aiding in heart attack risk prediction and treatment guidance.
AT-Patch acquires patient data via a wearable ECG monitor that is attached to the patient's skin for continuous recording. Autoplaque analyzes existing CT angiography images to derive its quantitative data on coronary plaques and stenoses.
AT-Patch integrates AI/machine learning algorithms into its AT-Report software for enhanced ECG analysis and arrhythmia detection. Autoplaque utilizes AI for the quantitative analysis, detection, and characterization of atherosclerotic plaque and measurement of luminal stenoses from CT angiography images.
AT-Patch is designed for use in Cardiology, Family Medicine, and Internal Medicine. Autoplaque is primarily intended for Cardiology and Radiology.
AT-Patch offers up to 14 days of continuous ECG monitoring, is shower-proof, compact, lightweight, and does not require charging or electrode replacement during monitoring, enhancing patient comfort and compliance. Autoplaque, being a software, focuses on post-processing CT angiography images with automated vessel, plaque, and lumen segmentation that clinicians can review and edit, rather than direct patient interaction for data collection.
AI Tool Finder
AI-powered search. Results may not be comprehensive.