Arterys Cardio DL

by ARTERYS  · Based in United States →The world's first internet platform for medical imaging, transforming healthcare through AI-powered, cloud-based solutions.
Cardiology Radiology

Contact for pricing
Regulatory Status Disclosed

Overview

Arterys Cardio DL is an innovative, FDA-cleared AI tool designed for cardiac MRI analysis. Leveraging cloud computing and deep learning, it automates and streamlines the interpretation of cardiac magnetic resonance (CMR) images, significantly reducing the time required for analysis from traditional manual methods. The platform provides automated, editable ventricle segmentations that are as accurate as those performed manually by experienced physicians. It integrates seamlessly into existing PACS or EHR workflows, enhancing diagnostic decision-making, improving efficiency, and ultimately aiming for better patient outcomes. Arterys Cardio DL is vendor-agnostic and supports comprehensive cardiac MRI post-processing, including 4D Flow visualization and quantification, quantitative delayed enhancement, and semi-quantitative perfusion analysis.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Automated ventricle segmentations for cardiac MRI
  • Deep learning algorithms for image analysis
  • Cloud-based platform for accessibility and performance
  • Vendor-agnostic compatibility
  • Rapid analysis (seconds vs. 30-60 minutes)
  • Editable automated contours
  • 4D Flow post-processing for blood flow visualization and quantification
  • Quantitative Delayed Enhancement analysis
  • Semi-Quantitative Perfusion analysis
  • Integration with PACS/EHR workflows

Use Cases

  • Cardiac MRI image interpretation and analysis
  • Assessment of ventricular function and volumes
  • Visualization and quantification of blood flow within and around the heart
  • Reducing radiologist workload and improving efficiency
  • Enhancing diagnostic accuracy and consistency in cardiac imaging
  • Facilitating data-driven medicine and clinical research

What Physicians Need to Know

Cardiac CT/MRI Analysis
Arterys Cardio DL is an FDA-cleared, cloud-based AI software that significantly reduces cardiac MRI (CMR) analysis time by providing automated and editable ventricle segmentations, which are as accurate as manual segmentations performed by experienced physicians. It offers comprehensive CMR post-processing, including quantification of 4D flow and ventricular function volumes. The platform also includes modules for T1 mapping, T2 quantification, extracellular volume fraction (ECV) calculation, quantitative delayed enhancement, and semi-quantitative perfusion analysis. It supports various CMR workflows, including 2D flow and delayed enhancement.
Heart Failure Risk Prediction
By providing precise ventricular volume measurements, ejection fraction, and aiding in the diagnosis of myocardial inflammation, fibrosis, and hypertrophy through T1/T2 mapping and ECV, Arterys Cardio DL offers crucial data for assessing heart function and conditions relevant to heart failure.
Coronary Artery Assessment
While primarily focused on CMR, Arterys Cardio DL's 4D Flow post-processing features provide comprehensive blood flow visualization and quantification within and around the heart, which can offer insights related to cardiovascular anatomy.
AHA/ACC Guideline Alignment
The software supports reporting of quantitative delayed enhancement and semi-quantitative perfusion on a 17-segment American Heart Association (AHA) plot, aligning with established cardiac segmentation standards.
Physician Tip

Leverage Arterys Cardio DL to significantly reduce the time spent on manual cardiac MRI (CMR) segmentation and analysis, allowing for increased patient throughput and focus on complex cases. Utilize the automated ventricle segmentations, T1/T2 mapping, and 4D Flow quantification for consistent and precise assessment of cardiac function, tissue characteristics, and blood flow dynamics. Integrate the detailed reports, including AHA 17-segment plots, into clinical decision-making for a standardized approach to diagnosing and managing various cardiac conditions, including those related to heart failure. Recognize that while the tool excels in CMR analysis, it is not designed for ECG/EKG analysis, echocardiography AI features, or direct arrhythmia detection.

Arterys Cardio DL is a cloud-based, vendor-agnostic platform designed to integrate seamlessly into existing PACS or EHR-driven workflows. This allows for easy deployment and accessibility from any validated device via the cloud, ensuring secure data handling without requiring Protected Health Information (PHI) exchange. It aims to be a natural extension of current radiology workflows.

Details

Category Cardiology AI, Radiology & Imaging AI
Pricing Contact for pricing
DeploymentCloud-based
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

Arterys Cardio DL received FDA 510(k) clearance (K163253) on January 5, 2017, and was announced for marketing on January 9, 2017. It was the first FDA-cleared technology to leverage cloud computing and deep learning in a clinical setting for automated, editable ventricle segmentations based on conventional cardiac MRI images.

Integrations
EHR Not specified
Specialties Cardiology, Radiology

What the Web Says

Arterys Cardio DL is an FDA-approved, cloud-based AI software that significantly reduces the time required for cardiac magnetic resonance imaging (CMR) analysis, from up to an hour to mere seconds or minutes. It uses deep learning algorithms to automate ventricle segmentations, aiding radiologists in interpreting medical images and improving efficiency without replacing their diagnostic role. The platform is designed to be vendor-agnostic and continuously improves its accuracy by learning from new data.

Overall: Positive

Strengths

  • Drastically reduces CMR analysis time from 30-60 minutes to seconds or minutes.
  • Provides automated, editable ventricle segmentations with accuracy comparable to experienced physicians.
  • Enhances clinical workflow and efficiency, allowing radiologists to see more patients.
  • Cloud-based platform enables global data collaboration and continuous improvement of the AI model.
  • Vendor-agnostic, integrating with existing healthcare systems like PACS, EHR, and RIS.
  • Reduces the need for patients, especially children, to hold their breath during lengthy MRI scans.

Limitations

  • Initial concerns about data and privacy, though Arterys states PHI is removed from scans.
  • Some physicians are still in a learning process to utilize the technology to its fullest capabilities.
  • Potential for minor issues with automated messages or responses in other languages (though this was mentioned for a different product, Artera, on Capterra, and not directly for Arterys Cardio DL).
  • Healthcare industry has been slow to adopt cloud-based solutions due to security concerns.

Based on reviews from: Vertex AI Search, Forbes, Radiology Today Magazine, Cardiovascular News, Imaging Technology News, DAIC, AuntMinnie, PR Newswire, MedCity News, G2

Last updated: 2026-07-17

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Press & Coverage

Imaging Technology News (ITN)
Arterys Cardio DL Cloud MRI Analytics Software Receives FDA Clearance
Arterys received FDA 510(k) clearance for its Cardio DL application, making it the first technology to leverage cloud computing and deep learning for automated, editable ventricle segmentations in cardiac MRI. This clearance complements a CE Mark for commercialization in Europe.
2017-01
eHealthNews.eu
Arterys Cardio Medical Software Cuts Wait Times With the Power of AI
Arterys Cardio DL, an FDA-approved software, significantly reduces cardiac MRI (CMR) result wait times for patients by interpreting images in minutes rather than the 30 minutes a radiologist would typically take. The cloud-based solution, by Tempus, uses deep learning algorithms for automated ventricle segmentations.
2024-07
AuntMinnie
FDA OK's Arterys cardiac software - AuntMinnie
Arterys received FDA 510(k) clearance for its Cardio DL application, which utilizes cloud computing and deep learning to provide automated, editable ventricle segmentations based on cardiac MR images. The deep-learning algorithm was validated to produce results comparable to an experienced clinician.
2017-01
Diagnostic Imaging
How Radiologists are Using Machine Learning - Diagnostic Imaging
Arterys Cardio DL software uses machine learning for automatic identification and segmentation of heart ventricles, saving radiologists time and adding consistency to cardiac MRI post-processing. The cloud-based application also ensures data privacy and has the potential for future applications in oncology.
2017-04
MDPI (Journal)
Clinical Applications of Artificial Intelligence in Cardiovascular Imaging: Where Do We Stand?
Arterys Cardio DL received FDA clearance in 2017 for automated, editable ventricular segmentation in CMR, serving as an early example of how AI-derived function metrics can meet regulatory standards. Such platforms generate rapid and consistent reports that integrate into PACS workflows.
2026-03
PMC (PubMed Central)
Artificial Intelligence in the Heart of Medicine: A Systematic Approach to Transforming Arrhythmia Care with Intelligent Systems
Arterys Cardio DL, an FDA-approved software within the Tempus Radiology division, uses deep learning models for automated and modifiable ventricle segmentations from cardiac MRI exams, with accuracy comparable to manual segmentations by experienced clinicians.
2023-08
Cardiovascular News
Arterys receives US FDA clearance for cardio imaging analytics software - Cardiovascular News
Arterys received 510(k) clearance from the FDA for its Cardio DL application, which uses cloud computing and deep learning to provide automated, editable ventricle segmentations from cardiac MRI images, aiming to eliminate tedious manual tasks for physicians.
2017-01
Forbes
First FDA Approval For Clinical Cloud-Based Deep Learning In Healthcare - Forbes
Arterys Cardio DL received FDA approval after demonstrating its ability to produce cardiac MRI analysis results as accurately as humans, but in an average of 15 seconds compared to 30 minutes to an hour for a human analyst.
2017-01

Videos

Product demos, reviews, and walkthroughs for Arterys Cardio DL.

View all on YouTube

Frequently Asked Questions

Yes, Arterys Cardio DL received 510(k) clearance from the U.S. Food and Drug Administration (FDA) in January 2017. It also obtained CE Mark approval in Europe prior to that for commercialization.
Arterys Cardio DL integrates into existing PACS or EHR workflows as a cloud-based, vendor-agnostic solution, eliminating the need for additional hardware. It primarily assists with automated, editable ventricle segmentations from cardiac MRI images, quantifying ventricular function and volumes, and offers deep learning-based perfusion and delayed enhancement analysis.
Arterys prioritizes patient data privacy by operating a HIPAA and EU GDPR-compliant cloud platform. Personal health information (PHI) is reportedly erased from scans upon entry into the system, and Arterys itself does not access PHI, which remains accessible only through a secure hospital server with clinician credentials.
While the AI is validated to produce results comparable to experienced human annotators, it is designed to assist physicians, not replace their diagnostic role. Radiologists still interpret the scans and determine diagnoses, indicating that the AI is a tool to enhance efficiency rather than a fully autonomous diagnostic system.
Arterys Cardio DL differentiates itself by leveraging cloud computing and deep learning to automate time-consuming cardiac MRI analysis tasks, significantly reducing processing time from 30-60 minutes to seconds or minutes. Other AI solutions and traditional methods may offer similar analytical capabilities but might differ in their automation level, cloud integration, or specific feature sets.
Arterys Cardio DL typically operates on an enterprise subscription model. While specific pricing can vary, one source indicates an approximate starting cost of ~$50,000 per year per site, with custom quotes available based on specific institutional needs.
The deep learning algorithm behind Arterys Cardio DL was trained using data from several thousand cardiac cases. Validation studies demonstrated that the software produces automated ventricle segmentations and other measurements with an expected error range comparable to those performed manually by experienced clinical annotators.

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Suggest an Edit → | Last Verified: 2026-04-17 | First Added: 2026-04-17
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