Tempus ECG-AF vs Cardiomo

Similar category, different focus. These tools serve overlapping but distinct needs. Comparability 65/100 Comparability is an AI-graded 0–100 score of how directly these two tools compete — higher means a more apples-to-apples comparison.
by Tempus AI, Inc.
VS
by Cardiomo, Inc.

AI Verdict

Tempus ECG-AF is an AI-powered software designed for healthcare facilities to analyze 12-lead ECGs and predict the risk of new-onset Atrial Fibrillation (AF) in patients 65 or older within 12 months. Cardiomo, on the other hand, offers a medical-grade wearable device and AI platform for continuous, remote heart health monitoring, detecting various cardiovascular diseases and providing real-time alerts to users and caregivers. While both leverage AI for cardiac health, Tempus focuses on risk prediction from clinical ECGs, whereas Cardiomo emphasizes continuous, remote monitoring via a wearable for broader disease detection and alerts.

Choose Tempus ECG-AF if…

Choose Tempus ECG-AF if your healthcare facility needs an FDA-cleared AI algorithm to analyze standard 12-lead ECGs from patients 65 or older to identify those at increased risk of developing new-onset atrial fibrillation within the next 12 months. This tool is ideal for integrating into existing cardiology workflows to support earlier identification and follow-up for at-risk geriatric patients without a prior AF diagnosis or specific cardiac devices.

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Choose Cardiomo if…

Choose Cardiomo if you require a medical-grade wearable device and AI-powered platform for continuous, remote heart health monitoring, particularly for detecting cardiovascular diseases and providing real-time alerts to users and caregivers. This solution is best suited for ongoing patient oversight, offering features like continuous vital sign monitoring (ECG, heart rate, respiration, skin temperature) and fall detection, with data accessible via a mobile app and cloud analytics.

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Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Quick Comparison

Feature Tempus ECG-AF Cardiomo
Pricing Contact vendor Contact for pricing
Deployment Software solution, integrated into healthcare facility systems with advanced cardiology algorithms. Cloud-based with wearable device and mobile app
BAA Available Yes AI-estimated Unknown
FDA Status Yes AI-estimated Unknown
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

Cardiomo

Cardiomo offers a wearable patch and mobile app for continuous, real-time monitoring, making it highly user-friendly for patients in their daily lives. Tempus ECG-AF, while integrated into healthcare systems, is a software solution for clinicians, requiring a traditional 12-lead ECG in a healthcare facility, which is less convenient for continuous patient use.

Clinical Value

Tempus ECG-AF

Tempus ECG-AF is an FDA-cleared algorithm specifically designed to identify patients aged 65 or older at increased risk of developing AF within 12 months, with its clinical performance validated in multi-site studies. Cardiomo, while offering continuous monitoring and AI-powered disease detection, mentions applying for FDA approval and CE Mark approval in Europe, suggesting it may not yet have the same level of regulatory clearance or published clinical validation for its specific disease detection claims.

Pricing & Value

Tempus ECG-AF

Tempus ECG-AF has established CMS reimbursement (CPT 0764T and CPT 0765T to APC 5734, Medicare rate of $128.90, effective January 1, 2025), providing clear financial value for healthcare facilities. Cardiomo's pricing details are not publicly available, though it previously offered a device at $200 with a $10 monthly subscription, making its current value proposition less transparent for enterprise adoption.

Enterprise Readiness

Tempus ECG-AF

Tempus ECG-AF is designed as a software solution integrated into healthcare facility systems and EHRs, with established FDA clearance and CMS reimbursement, indicating strong enterprise readiness. Cardiomo, while HIPAA compliant and cloud-based, relies on a wearable device and mobile app, which may present different integration challenges and scalability considerations within large healthcare enterprises compared to a purely software-based solution.

Innovation

Tie

Both tools demonstrate significant innovation in their respective domains. Tempus ECG-AF leverages advanced AI for predictive risk assessment from standard ECGs, a novel approach to proactive AF identification. Cardiomo innovates with a medical-grade wearable for continuous, real-time, multi-parameter heart health monitoring and AI-powered alerts, pushing the boundaries of remote patient monitoring.

Support & Docs

Tie

Both companies likely offer support and documentation, but specific details for enterprise-level support and comprehensive documentation are not extensively detailed in the provided information. Tempus mentions a cardiology support team, and Cardiomo provides a mobile application with real-time alerts and notifications, implying user support. Without more specific comparative information on SLAs, training, or extensive documentation portals, it's difficult to declare a definitive winner.

Feature-by-Feature

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

Feature Tempus ECG-AF Cardiomo
Tool Name Tempus ECG-AF Cardiomo
Company Tempus AI, Inc. Cardiomo, Inc.
Description FDA-cleared AI-based algorithm that analyzes 12-lead ECG recordings to identify patients aged 65 or older at increased risk of developing atrial fibrillation/flutter (AF) within the next 12 months, supporting earlier identification and follow-up. Medical-grade wearable device and an AI-powered platform for continuous and remote heart health monitoring, designed to detect cardiovascular diseases and provide timely alerts to users and caregivers.
Key Features AI-based algorithm for 12-lead ECG analysis; Detects signs associated with new onset Atrial Fibrillation (AF) within 12 months; Intended for patients 65 years or older without pre-existing AF, pacemakers, ICDs, or recent cardiac surgery; Results interpreted in conjunction with other diagnostic information and clinical history; Compatible with FDA authorized resting 12-lead ECGs from GE Medical Systems and Philips Medical Systems; Trained on over 1.5 million ECGs from over 500,000 patients Medical-grade wearable patch; Continuous vital sign monitoring (ECG, heart rate, respiration, skin temperature); AI-powered disease detection (arrhythmias, cardiovascular events); Real-time alerts and notifications; Mobile application (Android and iOS); HIPAA-compliant cloud analytics; Fall detection; Long battery life (up to 7-10 days)

Videos

Demos, reviews, and walkthroughs featuring Tempus ECG-AF and Cardiomo.

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Frequently Asked Questions

Tempus ECG-AF is designed to integrate with existing ECG platforms and EHRs, enabling advanced AI insights within current clinical workflows. It can filter eligible patients based on IFU criteria using EHR integrations and patient clinical data. Cardiomo, with its wearable device and mobile app, offers continuous monitoring and real-time alerts, which would integrate into workflows focused on remote patient monitoring and may require a different integration approach for EHRs to incorporate continuous vital sign data and alerts.
Tempus ECG-AF is an AI-based algorithm that analyzes 12-lead ECGs to identify patients aged 65 or older at increased risk of developing AF within the next 12 months. In a performance study, for patients with a positive result, AF was observed in approximately 1 in 5 patients within 12 months, and it had a negative predictive value of 95%. Cardiomo uses proprietary algorithms to analyze continuous vital sign data from its wearable patch to detect arrhythmias and other cardiac events, providing real-time alerts.
Tempus ECG-AF is primarily suited for Cardiology, Geriatrics, and Internal Medicine, focusing on risk stratification for new-onset AF in older patients based on standard 12-lead ECGs. Cardiomo is also relevant for Cardiology, Geriatrics, and Internal Medicine, but its continuous monitoring and wearable nature make it particularly useful for remote patient monitoring programs. The learning curve for Tempus ECG-AF would likely involve understanding the AI's risk stratification output and integrating it into existing diagnostic pathways, while Cardiomo would require familiarization with the wearable device, mobile app, and continuous data interpretation.
Tempus AI aims to advance precision medicine through the practical application of AI, suggesting a focus on supporting the integration and utilization of their AI algorithms. Tempus ECG-AF is designed for advanced AI deployment and insights within clinical workflows, implying support for integration into existing systems. Cardiomo provides a medical-grade wearable and an AI-powered platform for continuous monitoring, which would likely involve support for device deployment, patient onboarding, and platform usage. The time-to-value for Tempus ECG-AF could be relatively quick as it leverages existing ECG infrastructure, while Cardiomo's time-to-value would depend on the efficiency of patient onboarding and integration into remote monitoring programs.

Backers

Who funded each tool's parent company.

Tempus ECG-AF

Cardiomo

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