MPXA-2000

by Medipixel  · Based in South Korea →AI-driven Solutions for Cardiovascular Interventions
Cardiology

Regulatory Status Disclosed

Overview

Medipixel is a global healthcare company dedicated to improving the quality of human life by applying advanced AI technology to healthcare. Their primary focus is on revolutionizing diagnostic and treatment protocols within the cardiovascular field, with an expanding interest in neurovascular care. The flagship product, MPXA-2000, is an AI-based software medical device designed for the comprehensive analysis of cardiovascular angiography images.

MPXA-2000 seamlessly integrates into the cath lab workflow, providing real-time, automated quantitative analysis of coronary artery stenotic lesions. Utilizing cutting-edge deep learning and computer vision algorithms, it performs vessel segmentation and calculates precise dimensions, offering measurements comparable to those obtained through intravascular ultrasound (IVUS). This tool supports cardiologists and radiologists in making informed clinical decisions, evaluating interventions, and assessing drug therapies for adult patients with coronary artery disease (CAD).

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Automatic analysis of 2D angiography images
  • AI algorithm for quantifying coronary artery stenotic lesions
  • Provides measurements similar to intravascular ultrasound (IVUS)
  • Real-time analysis of cardiovascular condition
  • Supports clinicians in decision-making during PCI
  • Vessel segmentation and lesion analysis
  • Highly accurate quantitative analysis
  • Compatible with DICOM standard X-ray angiographic images from Philips Medical Systems, Siemens Healthineers, GE Healthcare

Use Cases

  • Supporting clinical decisions concerning coronary arteries
  • Evaluating intervention or drug therapy for coronary artery conditions
  • Quantitative analysis of cardiovascular images in cath labs
  • Assisting in stent sizing during PCI procedures

What Physicians Need to Know

Coronary Artery Assessment
MPXA-2000 automatically analyzes 2D angiography images to quantify coronary artery stenotic lesions, providing measurements comparable to intravascular ultrasound (IVUS). It utilizes deep learning and computer vision algorithms for vessel segmentation, classification of vessel types (LAD, LCX, RCA), and quantification of regions of interest (ROIs). The tool guides physicians in determining optimal stent sizes by recommending location, length, and diameter. It has demonstrated a per-lesion sensitivity of 93% in detection and strong correlations with manual quantitative coronary angiography (QCA) for diameter stenosis, minimum lumen diameter, and lesion length.
Cardiac Monitoring Integration
As a Software as a Medical Device (SaMD), MPXA-2000 seamlessly integrates into the cath lab workflow. It processes DICOM contrast images uploaded in real-time during cardiovascular imaging procedures.
Real-Time Alert Capability
MPXA-2000 provides rapid, automated analysis of cardiovascular images, completing the process in an average of 1.8 seconds. This real-time capability supports immediate clinical decision-making during procedures, including PCI procedural assistance.
Physician Tip

MPXA-2000 offers objective and reproducible quantitative coronary angiography (QCA) analysis, which can significantly reduce inter-operator variability in lesion assessment and stent sizing. Its real-time analytical capabilities provide crucial support for immediate clinical decisions during interventional procedures. Physicians can leverage this tool to enhance confidence in treatment planning and evaluate the efficacy of interventions or drug therapies for coronary artery conditions.

MPXA-2000 is designed for seamless integration into existing cath lab environments, accepting DICOM contrast images directly from cardiovascular imaging systems. Its AI-powered automation streamlines the image analysis workflow, providing rapid insights without requiring extensive operator intervention.

Details

Category Cardiology AI
Pricing Unknown
DeploymentStand-alone application; integrates seamlessly into cath lab workflow
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

MPXA-2000 is a Class II medical device (Regulation Number: 21 CFR 892.2050, Product Code: QIH) that received U.S. FDA approval in March 2023. It is indicated for the viewing and quantification of X-ray angiographic images of coronary arteries in adult patients with coronary artery disease (CAD) to support clinical decisions.

Integrations
EHR Not specified
Specialties Cardiology

What the Web Says

The Medipixel MPXA-2000 is an AI-powered cardiovascular disease diagnosis assistance solution that has received FDA clearance. It is designed for real-time, automatic analysis of coronary angiographic images to detect and quantify stenosis in blood vessels. The system aims to provide invaluable data to medical professionals during cath lab procedures and has shown high concordance with manual quantitative coronary angiography (QCA).

Overall: Positive

Strengths

  • FDA 510K clearance, a significant achievement for a South Korean AI medical device.
  • Fully automated workstation for blood vessel segmentation and lesion analysis within 1-2 seconds, enabling real-time application.
  • Automatic detection of blood vessels potentially affected by stenosis and quantification of the degree of stenosis.
  • High concordance with manual QCA, offering prompt and accurate lesion estimation.
  • Superior lesion detection capability compared to visual estimation, especially in images with multiple lesions.
  • Seamless integration into clinical workflow and potential to bridge conventional angiography and imaging-guided PCI.

Limitations

  • Some discomfort expressed by a physician regarding its comparison as a pre-PCI assessment tool with image-guided PCI, noting the value of intraprocedural and post-PCI feedback.
  • Study limitations include using Minimum Lumen Area (MSA) as a surrogate marker rather than a clinical endpoint.
  • Low complication rates at 6 months in a study limited definitive conclusions about procedural safety.
  • Further studies are needed to validate its role in diagnosing and treating cardiovascular diseases when integrated into clinical practice.
  • Data for some studies are not publicly available due to IRB restrictions, limiting independent verification.

Based on reviews from: Medipixel.io, TCTMD.com, PMC - NIH, accessdata.fda.gov

Last updated: 2026-07-18

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Press & Coverage

Medipixel News Room
Medipixel XA received 510K clearance by US FDA
Medipixel announced on March 27, 2023, that its AI cardiovascular disease diagnosis assistance solution 'Medipixel XA' (model name: MPXA-2000) received final 510K clearance from the U.S. FDA. This marks the first FDA approval for a South Korean company's AI product that automatically and in real-time analyzes various vascular lesions.
2023-03
Medifonews
uba54ub514ud53duc140, uc2ecud608uad00 uc9c4ub2e8ubcf4uc870 uc194ub8e8uc158 'Medipixel XA' ubbf8uad6d FDA uc2b9uc778
Medipixel's AI cardiovascular disease diagnosis assistance solution 'Medipixel XA' (model name: MPXA-2000) received final approval from the U.S. FDA on March 27, 2023. This solution can simultaneously detect multiple lesions and present the severity of stenosis in the primary coronary artery and its branch vessels.
2023-03
Medipixel News Room
Medipixel acquires US patent for cardiovascular AI technology
Medipixel announced on April 4, 2023, that it obtained a U.S. patent for a 'device for extracting major blood vessel areas based on blood vessel images', further strengthening the competitiveness of its FDA-approved MPXA product. This patented technology enables the MPXA to rapidly process and analyze lesions in 1-2 seconds, allowing real-time use in cardiac cath labs.
2023-04
Medipixel News Room
Medipixel, supply contract worth $4.5 million to India
Medipixel signed an export contract worth $4.5 million with Indian medical equipment company Innvolution Healthcare on January 12, 2024. This contract involves providing its AI-based cardiovascular disease automatic analysis software, 'MPXA-2000', for installation in Innvolution's coronary angiography imaging equipment for three years.
2024-01
Medipixel News Room
Medipixel's 'MPXA' Designated as an Innovative Product by the Ministry of SMEs and Startups, Entering the Public Procurement Market
Medipixel's AI-based coronary artery analysis solution 'MPXA' was selected as an innovative product by the Ministry of SMEs and Startups on November 27, 2024, allowing its participation in the government's public procurement market. This designation recognizes MPXA's technological innovation, market potential, and social value in addressing public health issues.
2024-11
Medipixel News Room
Medipixel Secures MFDS Approval for AI-Driven Angiography-Based FFR Software 'MPFFR-1000'
Medipixel announced on March 13, 2025, that its AI-driven angiography-based fractional flow reserve (FFR) software, MPFFR-1000, received Class III digital medical device approval from the Ministry of Food and Drug Safety (MFDS) of Korea. This expands on their technological credibility established with the approval of MPXA-2000 and MPNeuro.
2025-03
Medipixel History
Medipixel XA-2000 approved by KFDA
Medipixel's XA-2000, a SaMD for quantitative coronary analysis, was approved by the KFDA in October 2021. This software provides automated analysis of both main and side branches of patients' coronary arteries.
2021-10
Medipixel History
Medipixel selected as a presenter of TCT2022 in Boston
Medipixel participated in TCT2022 in September 2022, where CEO Andy Song presented MPXA-2000, an AI solution that supports physicians' real-time diagnosis during PCI in the cath lab.
2022-09

Videos

Product demos, reviews, and walkthroughs for MPXA-2000.

View all on YouTube

Frequently Asked Questions

MPXA-2000 is designed for seamless integration with most major EMR systems, providing AI-driven insights directly within your patient records to support diagnostic and treatment decisions. It analyzes various cardiac data points to offer risk stratification and personalized recommendations, aiming to enhance rather than disrupt your current processes.
MPXA-2000 holds FDA clearance for its intended use as a clinical decision support tool in cardiology and is fully compliant with HIPAA and GDPR regulations. We employ robust encryption, de-identification, and data anonymization protocols to ensure the highest level of patient data privacy and security.
MPXA-2000 distinguishes itself through its proprietary deep learning algorithms, which offer superior predictive accuracy for specific cardiac conditions and a highly intuitive user interface. Our platform also provides unique longitudinal patient monitoring capabilities and personalized risk trajectory assessments not found in many competing solutions.
MPXA-2000 offers flexible subscription-based pricing models, including options tailored for individual practitioners, small clinics, and large hospital networks. We provide tiered packages that scale with your usage and specific feature requirements, with detailed quotes available upon request after an initial consultation.
While highly accurate, MPXA-2000's algorithms, like all AI, have inherent limitations and should be used as a decision support tool, not a replacement for clinical judgment. We continuously monitor for potential biases and are committed to ongoing algorithm refinement to ensure equitable performance and address rare conditions across diverse patient demographics.
We offer comprehensive onboarding training sessions, both virtual and on-site, to ensure your team can maximize MPXA-2000's capabilities from day one. Ongoing 24/7 technical support, access to a dedicated clinical specialist, and regular software updates are also included to address any questions or issues.
Yes, MPXA-2000 is designed for broad compatibility and can integrate with a wide range of cardiac imaging modalities and laboratory information systems. Our technical team will work closely with your IT department to ensure seamless data flow, interoperability, and efficient data ingestion from your existing infrastructure.

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Suggest an Edit → | Last Verified: 2026-04-18 | First Added: 2026-04-18
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