Autoplaque vs uPMR 790

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.

Autoplaque

by APQ Health (formerly Cedars-Sinai Medical Center: AIM)

uPMR 790

by United Imaging Healthcare

AI Verdict

Autoplaque is an AI-powered software designed for the quantitative analysis of coronary plaques and luminal stenoses from CT angiography images, focusing on heart attack risk prediction. In contrast, the uPMR 790 is a comprehensive PET/MR imaging system that uses AI to enhance image acquisition and workflow across oncology, neurology, and broader cardiology applications. While both leverage AI in cardiology, Autoplaque specializes in post-imaging analysis of CT data for plaque, whereas uPMR 790 is an imaging modality itself.

Choose Autoplaque if…

Choose Autoplaque if your primary need is advanced, AI-powered quantitative analysis of existing CT angiography images to precisely characterize coronary plaque and luminal stenoses. This workstation-based software is ideal for cardiologists and radiologists seeking detailed insights into atherosclerotic burden for improved heart attack risk prediction and personalized treatment guidance.

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Choose uPMR 790 if…

Choose uPMR 790 if your facility requires a cutting-edge, integrated PET/MR imaging system for simultaneous acquisition of high-resolution metabolic and anatomical data. This on-premise system is best suited for comprehensive diagnostic and research applications across oncology, neurology, and cardiology where the synergistic information from PET and MR is crucial for complex disease characterization and advanced studies.

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Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Quick Comparison

Feature	Autoplaque	uPMR 790
Deployment	Workstation-based post-processing application, runs on Windows or Mac OS.	On-premise
FDA Status	Cleared 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

Autoplaque

Autoplaque, as workstation-based software, offers direct and interactive control over AI-generated analysis, allowing clinicians to review and edit segmentations. This direct interaction with the AI's output for diagnostic purposes makes it more 'usable' in terms of clinical workflow integration for analysis compared to the operational streamlining of a complex imaging system like uPMR 790.

Clinical Value

Autoplaque

While both are FDA-cleared and offer significant clinical benefits, Autoplaque provides a specific, AI-driven quantitative analysis that directly aids in heart attack risk prediction and treatment guidance from existing CTA images. This offers a more direct and actionable clinical decision support value from an AI tool perspective compared to uPMR 790's role as an AI-enhanced imaging modality providing superior diagnostic data.

Pricing & Value

Autoplaque

Given that Autoplaque is software designed for workstations, its acquisition and deployment costs are inherently expected to be significantly lower than a full, high-end PET/MR imaging system like the uPMR 790. This makes Autoplaque a more accessible solution for specific AI-driven cardiac analysis, potentially offering better value for its targeted clinical application.

Enterprise Readiness

uPMR 790

As a comprehensive medical imaging system, the uPMR 790 is inherently designed for robust enterprise deployment within healthcare facilities, with explicit consideration for HIPAA compliance and PHI handling. This demonstrates a more mature and integrated approach to enterprise requirements compared to workstation-based software where these aspects are not detailed in the provided information.

Innovation

uPMR 790

The uPMR 790 demonstrates a broader and deeper level of technological innovation by combining multiple state-of-the-art imaging and AI technologies into a single, high-performance system. Its simultaneous PET/MR capabilities, advanced detector technology, and AI-driven image acquisition and reconstruction represent a more comprehensive and foundational innovation in medical imaging.

Support & Docs

uPMR 790

United Imaging Healthcare provides a comprehensive and well-documented support infrastructure for the uPMR 790, including extensive training, remote monitoring, and a global service department, which is typical for a major medical equipment manufacturer. In contrast, specific commercial support and documentation for Autoplaque, originating from an academic institution and now licensed to a startup, are not detailed in the available information.

Feature-by-Feature

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

Feature	Autoplaque	uPMR 790
Name	Autoplaque	uPMR 790
Company	Cedars-Sinai Medical Center: AIM	Shanghai United Imaging Healthcare Co.
Primary Function/Modality	Quantitative analysis of coronary plaques and luminal stenoses from CT angiography images	Simultaneous PET/MRI imaging with high temporal and spatial resolution
Key AI-Powered Feature	AI-powered quantitative analysis of atherosclerotic plaque; Automated vessel, plaque, and lumen segmentation	AI-enhanced workflows; Intelligent workflow features including automatic positioning, bed planning, and attenuation correction; AI-assisted Compressed Sensing (uAIFI ACS)
Target Specialties	Cardiology, Radiology	Nuclear Medicine, Oncology, Radiology

Videos

Demos, reviews, and walkthroughs featuring Autoplaque and uPMR 790.

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Frequently Asked Questions

How do these tools integrate into existing clinical workflows and connect with Electronic Health Record (EHR) systems?

Autoplaque is a workstation-based post-processing application designed to integrate into the CT angiography reading workflow, allowing clinicians to review and edit automated segmentations. Its output, including quantitative analysis of coronary plaques and stenoses, would typically be incorporated into radiology reports and then integrated into the EHR. The uPMR 790 is an imaging system with intelligent workflow features like automatic positioning and bed planning. Its generated images and associated data are designed to conform to DICOM standards, facilitating integration with existing PACS/RIS systems and, through those, into the EHR for comprehensive patient records.

What is the clinical accuracy and sensitivity of each tool in its respective application?

Autoplaque provides AI-powered quantitative analysis for detecting and characterizing coronary artery plaque and measuring luminal stenoses from CT angiography images, aiding in heart attack risk prediction and treatment guidance. Studies have shown excellent agreement between Autoplaque and expert reader measurements for total plaque volume, non-calcified plaque volume, calcified plaque volume, and diameter stenosis. The uPMR 790 offers simultaneous PET/MRI imaging with an industry-leading 2.8 mm NEMA PET spatial resolution and AI-assisted Compressed Sensing (uAIFI ACS) for optimized speed and image quality, enhancing diagnostic accuracy across oncology, neurology, and cardiology applications.

What specific clinical value does each tool offer for its primary specialties?

For cardiology and radiology, Autoplaque's focused quantitative analysis of coronary plaque and stenosis from CT angiography directly supports improved heart attack risk prediction and personalized treatment guidance by identifying and characterizing atherosclerotic plaque. For nuclear medicine, oncology, and radiology, the uPMR 790 provides high-resolution simultaneous PET/MR imaging, which is crucial for precise lesion detection, staging, and treatment response assessment in complex cases, including those in neurology and cardiology.

What is the expected learning curve for clinicians and the typical time-to-value for implementing each tool?

For Autoplaque, as workstation-based software with automated but reviewable/editable segmentations, the learning curve is likely focused on familiarization with its interface and validation of its AI outputs, potentially leading to quicker clinical integration and value realization. Autoplaque can analyze lesions in less than 2 seconds, significantly faster than manual methods. For the uPMR 790, a high-end medical imaging system with advanced features, the learning curve would involve comprehensive training for technologists and physicians on its intelligent workflow features like automatic positioning and attenuation correction, with time-to-value dependent on facility integration and protocol optimization.

What audit-trail features are available, and what is the security posture beyond standard compliance?

Autoplaque allows for clinician review and editing of automated segmentations, implying the necessity for robust audit-trail features to track modifications and ensure data integrity for diagnostic and research purposes. Audit trails are crucial for accountability and detecting unusual activity. For the uPMR 790, as a system generating extensive patient data, comprehensive audit-trail capabilities for image acquisition, processing, and access would be expected, alongside strong data security measures to protect sensitive patient information, especially given its uSync Research platform.

What are the key considerations for deploying these tools across multiple clinical sites within a healthcare system?

For Autoplaque, multi-site deployment considerations would include consistent software installation and configuration across various workstations, standardized user training for cardiologists and radiologists, and potentially centralized data management or reporting integration. Deploying the uPMR 790 across multiple sites involves significant logistical planning for installation, calibration, and integration into existing infrastructure at each location, along with standardized protocols for image acquisition and data handling to ensure consistent performance and data quality.