Lung AI vs Tempus ECG-AF
AI Verdict
Choose Lung AI if…
Choose Lung AI if you require immediate, real-time diagnostic imaging at the point of care, particularly for rapid assessment of lung and cardiac conditions. Its handheld, on-device AI processing makes it ideal for emergency medicine, critical care, or remote settings where quick visual confirmation and decision-making are paramount, even without internet connectivity.
View Lung AI →Choose Tempus ECG-AF if…
Choose Tempus ECG-AF if your objective is to proactively identify older patients at increased risk of developing new-onset atrial fibrillation within the next year, leveraging existing 12-lead ECG data. This software solution is best suited for integration into cardiology, geriatrics, or internal medicine workflows to support earlier intervention and follow-up for at-risk individuals aged 65 or older.
View Tempus ECG-AF →Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Quick Comparison
| Feature | Lung AI | Tempus ECG-AF |
|---|---|---|
| Pricing | Contact for pricing | Contact vendor |
| Deployment | On-device (integrated with Exo Iris handheld ultrasound device) | Software solution, integrated into healthcare facility systems with advanced cardiology algorithms. |
| BAA Available | Yes AI-estimated | Yes AI-estimated |
| FDA Status | 1 AI-estimated | Yes AI-estimated |
| HIPAA | Yes AI-estimated | Yes AI-estimated |
Feature-by-Feature
Detail beyond the Quick Comparison summary. For pricing, deployment, BAA, FDA, and HIPAA see the Overview tab.
| Feature | Lung AI | Tempus ECG-AF |
|---|---|---|
| Product Name | Lung AI | Tempus ECG-AF |
| Company | Exo | Tempus AI, Inc. |
| Primary Function | High-performance, handheld ultrasound platform with AI for imaging and therapeutic applications, focusing on cardiac and lung scanning. | 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. |
| Target Patient Population/Use Case | Smarter Cardiac and Lung Scanning for real-time decisions and improved patient outcomes. | Patients aged 65 or older without pre-existing AF, pacemakers, ICDs, or recent cardiac surgery, to identify increased risk of developing AF within 12 months. |
| Core AI Capabilities | AI-powered detection of pleural effusion, AI-powered detection of consolidation/atelectasis, automated AI-based indicators for cardiac conditions (e.g., heart failure, hypertrophy). | AI-based algorithm for 12-lead ECG analysis, detects signs associated with new onset Atrial Fibrillation (AF) within 12 months. |
| Specialties Supported | Cardiology, Emergency Medicine, Pulmonology | Cardiology, Geriatrics, Internal Medicine |
Videos
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