DeepRhythmAI vs Tempus ECG-AF

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 Medicalgorithmics
VS
by Tempus AI, Inc.

AI Verdict

DeepRhythmAI is designed for the immediate detection and classification of a broad range of cardiac arrhythmias from ECG data, enhancing diagnostic accuracy and workflow efficiency. Conversely, Tempus ECG-AF focuses on predicting the risk of developing atrial fibrillation/flutter within 12 months for a specific elderly patient population. While both utilize AI for ECG analysis in cardiology, they serve distinct clinical purposes: current diagnosis versus future risk stratification.

Choose DeepRhythmAI if…

Choose DeepRhythmAI if your primary need is highly accurate and efficient detection and classification of a broad range of cardiac arrhythmias from diverse ECG data sources. This cloud-based solution is ideal for healthcare providers seeking to significantly reduce missed diagnoses and streamline their ECG reporting workflows across various devices.

View DeepRhythmAI →

Choose Tempus ECG-AF if…

Choose Tempus ECG-AF if your goal is to proactively identify elderly patients (65+) at increased risk of developing new-onset atrial fibrillation within the next 12 months. This tool is specifically designed for risk stratification in a defined patient population, allowing for earlier identification and follow-up to potentially prevent future AF events.

View Tempus ECG-AF →

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Quick Comparison

Feature DeepRhythmAI Tempus ECG-AF
Pricing Contact vendor for pricing information Contact vendor
Deployment Cloud-based, hardware-agnostic, SaaS, on-prem, hybrid Software solution, integrated into healthcare facility systems with advanced cardiology algorithms.
BAA Available Yes AI-estimated Yes AI-estimated
FDA Status Cleared AI-estimated Yes AI-estimated
HIPAA Yes AI-estimated 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

DeepRhythmAI

DeepRhythmAI (Tool A) is a cloud-based, device-agnostic solution with an API, offering greater flexibility for integration into diverse healthcare workflows and existing ECG devices. While it lacks a native user interface, its design for seamless integration with external visualization software enhances its adaptability and streamlines clinical processes. Tempus ECG-AF (Tool B) is integrated into facility systems and compatible with specific ECG devices, which may imply a more rigid deployment.

Clinical Value

DeepRhythmAI

DeepRhythmAI (Tool A) offers superior accuracy in detecting and classifying a wide range of cardiac arrhythmias from ECG data, significantly reducing missed diagnoses by 14x to 114x. This provides a broad and immediate clinical impact across various arrhythmia types. Tempus ECG-AF (Tool B) focuses on predicting the risk of new-onset atrial fibrillation in a specific demographic, which is valuable but more specialized in its application.

Pricing & Value

Tempus ECG-AF

Tempus ECG-AF (Tool B) clearly outlines its financial value by stating CMS reimbursement availability with specific CPT codes (0764T and 0765T) and a Medicare rate of $128.90, effective January 1, 2025. This transparency provides a clear pathway for adoption and financial planning for healthcare providers. DeepRhythmAI (Tool A) only states 'enterprise' pricing with unknown details, making its value proposition less clear.

Enterprise Readiness

DeepRhythmAI

DeepRhythmAI (Tool A) demonstrates strong enterprise readiness with explicit compliance certifications including HIPAA, GDPR, HITECH, SOC 2, and ISO 27001. Its cloud deployment, API availability, and global customer base further support its scalability and integration capabilities for various health systems. Tempus ECG-AF (Tool B) is HIPAA compliant and offers a BAA, but lacks the broader set of certifications.

Innovation

DeepRhythmAI

DeepRhythmAI (Tool A) showcases a higher degree of technical innovation by explicitly mentioning its use of advanced AI models like Convolutional Neural Networks (CNNs) and Transformer models, trained on an exceptionally large dataset of 250 billion+ annotated heartbeats. This robust foundation supports its claim of revolutionizing cardiac arrhythmia detection and classification. Tempus ECG-AF (Tool B) is AI-based for predictive risk, but provides less detail on its underlying technical sophistication or data scale.

Support & Docs

Tie

Neither DeepRhythmAI (Tool A) nor Tempus ECG-AF (Tool B) provide specific details regarding their customer support channels, the availability or quality of documentation, or training resources in the provided facts or through web search. Therefore, it is not possible to distinguish between the two on this dimension.

Feature-by-Feature

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

Feature DeepRhythmAI Tempus ECG-AF
Name DeepRhythmAI Tempus ECG-AF
Company Medicalgorithmics S.A. Tempus AI, Inc.
Description FDA-cleared, cloud-based AI algorithm that revolutionizes cardiac arrhythmia detection and classification from ECG data, offering superior accuracy and efficiency for physicians. 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.
Key Functionality AI-powered arrhythmia detection and classification from ECG data. AI-based algorithm for 12-lead ECG analysis to detect signs associated with new onset Atrial Fibrillation (AF) within 12 months.
Target Patient Population Adult patients Patients 65 years or older without pre-existing AF, pacemakers, ICDs, or recent cardiac surgery.
ECG Data Used ECG data (Holter, Event, and Mobile Cardiac Telemetry data) 12-lead ECG recordings
Training Data 250 billion+ annotated heartbeats Over 1.5 million ECGs from over 500,000 patients

Videos

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

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Frequently Asked Questions

DeepRhythmAI is designed for general cardiac arrhythmia detection and classification from various ECG data sources. Tempus ECG-AF, conversely, specifically identifies patients aged 65 or older without pre-existing AF, pacemakers, ICDs, or recent cardiac surgery, who are at increased risk of developing atrial fibrillation/flutter within the next 12 months.
DeepRhythmAI is device-agnostic and integrates with various ECG devices, including Holter, Event, and Mobile Cardiac Telemetry data. Tempus ECG-AF analyzes 12-lead ECG recordings and is compatible with FDA authorized resting 12-lead ECGs from GE Medical Systems and Philips Medical Systems.
DeepRhythmAI's pricing is enterprise, with no specific reimbursement details provided. Tempus ECG-AF has CMS reimbursement available under CPT codes 0764T and 0765T to APC 5734, with a Medicare rate of $128.90, effective January 1, 2025.
DeepRhythmAI's AI models, utilizing CNN and Transformer models, were trained on over 250 billion annotated heartbeats. Tempus ECG-AF's algorithm was trained on over 1.5 million ECGs from over 500,000 patients.
DeepRhythmAI aims to provide faster ECG reporting and analysis, reduce missed diagnoses by 14x to 114x, and streamline clinical workflows by up to 65%. Tempus ECG-AF supports earlier identification and follow-up for patients at increased risk of developing new-onset Atrial Fibrillation within 12 months.
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