AT-Patch (ATP-C130/ATP-C70) vs Strain AI

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.

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

by ATsens Co.

Strain AI

by Exo

AI Verdict

AT-Patch is designed for continuous, long-term ECG monitoring to detect arrhythmias, utilizing a wearable device and AI-powered analysis. In contrast, Strain AI analyzes cardiac ultrasound images to measure Global Longitudinal Strain, assisting physicians in assessing heart function and conditions like heart failure. While both are cardiology AI tools, they address different diagnostic needs through distinct data modalities.

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

Choose AT-Patch if you require extended, continuous cardiac rhythm monitoring for up to 14 days to detect intermittent arrhythmias or evaluate treatment effectiveness. Its wearable, shower-proof design and integrated AI analysis make it ideal for patients needing comfortable, long-term ambulatory ECG monitoring without frequent device interaction.

View AT-Patch (ATP-C130/ATP-C70) →

Choose Strain AI if…

Choose Strain AI if you need real-time, AI-driven quantitative assessment of cardiac function directly from ultrasound images, specifically for measuring Global Longitudinal Strain (GLS). This tool is best suited for clinicians evaluating heart failure, cardiotoxicity, or other conditions requiring immediate, objective insights into myocardial mechanics during an ultrasound examination.

View Strain AI →

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Quick Comparison

Feature	AT-Patch (ATP-C130/ATP-C70)	Strain AI
Pricing	N/a	Contact for pricing
Deployment	Wearable device for patients; analysis software deployed on-premise at medical institutions.	On-device AI, operates without internet connection.
BAA Available	Unknown	Yes AI-estimated
FDA Status	Cleared AI-estimated	Yes 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

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

AT-Patch prioritizes patient comfort and ease of use for long-term monitoring with its lightweight, shower-proof design and no-maintenance operation, enhancing patient compliance. The accompanying AT-Note smartphone app further streamlines the patient experience for symptom recording and live ECG viewing.

Clinical Value

Strain AI

Both tools are FDA-cleared and offer significant clinical value in cardiology. Strain AI provides objective, quantitative Global Longitudinal Strain (GLS) measurements from ultrasound images, which is a critical metric for early detection and management of conditions like heart failure and cardiotoxicity. This automation and standardization of a key diagnostic parameter can lead to more consistent and accurate assessments.

Pricing & Value

Tie

Neither AT-Patch nor Strain AI provides publicly available pricing information, making a direct comparison of cost-effectiveness impossible. Both offer distinct clinical benefits that could provide significant value to healthcare institutions, but without pricing transparency, a winner cannot be determined.

Enterprise Readiness

Strain AI

Strain AI explicitly confirms HIPAA compliance and the availability of a Business Associate Agreement (BAA), which are crucial for healthcare data security. Its on-device AI deployment, operating without an internet connection and integrating with existing ultrasound devices, offers superior operational simplicity and data security for enterprise environments.

Innovation

Strain AI

Strain AI's innovation lies in providing real-time, on-device AI insights for automated Global Longitudinal Strain (GLS) measurement from cardiac ultrasound images, significantly streamlining a complex diagnostic process. This capability reduces manual interpretation and improves efficiency at the point of care, representing a transformative step in diagnostic imaging.

Support & Docs

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

AT-Patch offers comprehensive and easily accessible user manuals and technical documentation for both patient device usage and clinician software analysis. In contrast, while Exo (the company behind Strain AI) provides technical documentation for its underlying AI platform, specific clinical user support and documentation for Strain AI's application appear less readily available.

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)	Strain AI
Product Name	AT-Patch (ATP-C130/ATP-C70)	Strain AI
Company	ATsens Co.	Exo
Primary Function	Wearable ECG monitor for continuous cardiac monitoring.	AI-powered medical software that analyzes cardiac ultrasound images.
AI Application	AI-powered analysis software for enhanced arrhythmia detection; AI/machine learning algorithms for ECG analysis.	Analyzes cardiac ultrasound images to measure Global Longitudinal Strain (GLS); AI-driven solutions.
Key Measurement/Output	Continuous ECG monitoring; live ECG viewing; ECG analysis reports.	Global Longitudinal Strain (GLS); quantitative strain measurements.
Target Use Case	Continuous cardiac monitoring for arrhythmia detection.	Assessing heart function and detecting conditions like heart failure and cardiotoxicity in adult patients.

Videos

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

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Frequently Asked Questions

What is the primary clinical application difference between AT-Patch and Strain AI?

AT-Patch is an ambulatory ECG monitor designed for continuous cardiac monitoring for up to 14 days, primarily focused on arrhythmia detection. Strain AI, on the other hand, is AI-powered medical software that analyzes cardiac ultrasound images to measure Global Longitudinal Strain (GLS), aiding in the assessment of heart function and detection of conditions like heart failure and cardiotoxicity.

How do these tools differ in their patient interaction and data acquisition methods?

AT-Patch is a wearable device that patients wear for continuous ECG monitoring, and it includes a smartphone app for live ECG viewing and symptom recording. Strain AI is software that analyzes pre-existing cardiac ultrasound images, meaning it does not involve a wearable device or direct patient interaction for data acquisition beyond the initial ultrasound scan.

What specific cardiac conditions are each tool designed to help diagnose or monitor?

AT-Patch is designed to aid in the diagnosis and management of symptoms like palpitations, dizziness, and fatigue by detecting arrhythmias and other cardiac events through continuous ECG monitoring. Strain AI assists in detecting heart failure (CHF, HFpEF, HFrEF) and hypertrophy, as well as assessing cardiotoxicity in adult patients by measuring Global Longitudinal Strain from ultrasound images.

How do the AI capabilities of AT-Patch and Strain AI differ in their function?

AT-Patch utilizes AI/machine learning algorithms for ECG analysis to enhance arrhythmia detection from continuous cardiac monitoring data. Strain AI employs AI to analyze cardiac ultrasound images specifically to measure Global Longitudinal Strain (GLS) and provide real-time, on-device insights for diagnostic evaluation.