Cardio-TriTest vs Tempus ECG-AF
AI Verdict
Choose Cardio-TriTest if…
Choose Cardio-TriTest if your primary care clinic requires a comprehensive, multi-modal diagnostic device for earlier and more thorough cardiovascular disease detection. This device is ideal for synchronously acquiring and visually correlating ECG, PCG, and MCG bio-signals, offering a broader diagnostic picture beyond a standard ECG. It's best suited for general practitioners seeking an all-in-one, non-invasive tool to screen for various heart conditions directly in a clinical setting.
View Cardio-TriTest →Choose Tempus ECG-AF if…
Choose Tempus ECG-AF if your cardiology department or internal medicine practice needs to specifically identify older patients at increased risk of developing new-onset atrial fibrillation within the next year. This AI-based software solution seamlessly integrates with existing 12-lead ECG systems to provide targeted risk stratification for patients aged 65 or older without pre-existing AF. It is particularly useful for proactive management and follow-up in an at-risk geriatric population, leveraging existing infrastructure.
View Tempus ECG-AF →Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Quick Comparison
| Feature | Cardio-TriTest | Tempus ECG-AF |
|---|---|---|
| Pricing | Unknown | Contact vendor |
| Deployment | On-premise (device) | Software solution, integrated into healthcare facility systems with advanced cardiology algorithms. |
| BAA Available | Unknown | Yes AI-estimated |
| FDA Status | Unknown | Yes AI-estimated |
| HIPAA | Unknown | Yes AI-estimated |
Feature-by-Feature
Detail beyond the Quick Comparison summary. For pricing, deployment, BAA, FDA, and HIPAA see the Overview tab.
| Feature | Cardio-TriTest | Tempus ECG-AF |
|---|---|---|
| Product Name | Cardio-TriTest | Tempus ECG-AF |
| Company | Cardio-Phoenix Inc. | Tempus AI, Inc. |
| Primary Function | AI-powered 3-in-1 diagnostic device combining ECG, PCG, and MCG to synchronize and visually correlate heart bio-signals for earlier and more comprehensive cardiovascular disease detection in primary care. | 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. |
| Core Diagnostic Modalities | 3-in-1 diagnostic device (ECG, PCG, MCG); 12-Lead Electrocardiograph (ECG); 4 Lead Phonocardiograph (PCG); 4 Lead Mechanocardiograph (MCG); Synchronized bio-signal acquisition; Visual correlation of heart bio-signals; AI-powered analysis. | AI-based algorithm for 12-lead ECG analysis; Trained on over 1.5 million ECGs from over 500,000 patients. |
| Target Condition/Population | Earlier and more comprehensive cardiovascular disease detection. | Patients aged 65 or older at increased risk of developing atrial fibrillation/flutter (AF) within the next 12 months, without pre-existing AF, pacemakers, ICDs, or recent cardiac surgery. |
| Specialties | Cardiology, Family Medicine, Internal Medicine | Cardiology, Geriatrics, Internal Medicine |
Videos
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