Autoplaque vs cV4 Diagnostic Ultrasound System

Similar category, different focus. These tools serve overlapping but distinct needs. Comparability 60/100 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 Cedars-Sinai Medical Center: AIM

cV4 Diagnostic Ultrasound System

by Samsung Medison Co.

AI Verdict

Autoplaque is a software for analyzing CT angiography images to quantify coronary plaque and stenosis, aiding in heart attack risk prediction. The Samsung Medison cV4 is a diagnostic ultrasound system with AI features for various applications, including some cardiovascular assessments. While both tools utilize AI in cardiology, Autoplaque focuses on post-processing CT images for plaque analysis, whereas the cV4 is a hardware device that generates ultrasound images and offers AI-powered assistance for real-time diagnostics across broader specialties.

Choose Autoplaque if…

Choose Autoplaque if your primary need is detailed, AI-powered quantitative analysis of coronary plaques and luminal stenoses from CT angiography images. This workstation-based software is ideal for cardiologists and radiologists seeking to precisely assess heart attack risk and guide treatment plans by characterizing coronary artery plaque and measuring vessel dimensions.

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Choose cV4 Diagnostic Ultrasound System if…

Choose the cV4 Diagnostic Ultrasound System if you require a versatile, AI-enabled diagnostic ultrasound system for a broad range of clinical applications, including obstetrics, gynecology, and general radiology. Its fanless design, advanced imaging features like HeartAssist™ and BiometryAssist™, and robust data security make it suitable for diverse on-premise diagnostic needs where portability and silent operation are valued.

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Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Quick Comparison

Feature	Autoplaque	cV4 Diagnostic Ultrasound System
Pricing	Not disclosed	Contact for pricing
Deployment	Workstation-based software, runs on Windows or Mac computer platforms	On-premise (physical hardware device)
FDA Status	1 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

cV4 Diagnostic Ultrasound System

Tool B (cV4 Diagnostic Ultrasound System) emphasizes streamlined workflows, one-click solutions, and a consistent user interface, leading to reported reductions in examination time and keystrokes. Its fanless design also contributes to a quieter and more comfortable scanning environment. Tool A (Autoplaque) is workstation-based software, and while it offers automated segmentation, it also allows for clinician review and editing, which may add to workflow complexity.

Clinical Value

cV4 Diagnostic Ultrasound System

Tool B (cV4 Diagnostic Ultrasound System) offers a broader range of AI-powered features across multiple specialties (OB/GYN, maternal-fetal medicine, general radiology, and cardiology), enhancing image quality and automating diverse assessments like fetal heart assessment, nerve detection, and fetal measurements. Tool A (Autoplaque) is highly specialized in quantitative analysis of coronary plaques and luminal stenoses for heart attack risk prediction. While both are FDA-cleared and offer significant clinical value, Tool B's wider applicability and diverse AI assists suggest a higher overall clinical value for institutions with varied departmental needs.

Pricing & Value

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Both Tool A and Tool B require contacting the vendor for pricing, indicating a lack of public transparency for both products. Without specific pricing information, it is impossible to accurately compare their value propositions, as one is a software accessory and the other a complete hardware system.

Enterprise Readiness

cV4 Diagnostic Ultrasound System

Tool B (cV4 Diagnostic Ultrasound System) demonstrates stronger enterprise readiness with its explicit mention of comprehensive cybersecurity features, including Windows 11 OS, SSD encryption (BitLocker), DICOM TLS for transmission, and audit trails, alongside DICOM 3.0 compatibility. While Tool A (Autoplaque) is FDA-cleared and runs on common operating systems, Tool B's detailed security and integration features are more robust for large-scale enterprise deployment.

Innovation

cV4 Diagnostic Ultrasound System

Tool B (cV4 Diagnostic Ultrasound System) showcases innovation through its 'world's first fanless design' for silent operation and a comprehensive suite of AI-powered assists across multiple specialties, including HeartAssist, NerveTrack, BiometryAssist, and LaborAssist. Tool A (Autoplaque) is innovative in its AI-powered quantitative analysis of coronary plaques for risk prediction, but Tool B's broader application of AI in a hardware system with a unique design gives it an edge in overall innovation.

Support & Docs

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The provided structured facts and web search results do not contain specific information regarding the availability, quality, or scope of support services or documentation for either Tool A or Tool B. Without this crucial information, it is not possible to make an informed comparison between the two products on this dimension.

Feature-by-Feature

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

Feature	Autoplaque	cV4 Diagnostic Ultrasound System
Name	Autoplaque	cV4 Diagnostic Ultrasound System
Company	Cedars-Sinai Medical Center: AIM	Samsung Medison Co.
Description	Autoplaque, developed by Cedars-Sinai AIM, is an FDA-cleared AI-powered software for quantitative analysis of coronary plaques and luminal stenoses from CT angiography images, aiding in heart attack risk prediction and treatment guidance.	The Samsung Medison cV4 is an AI-enabled, fanless diagnostic ultrasound system offering advanced imaging, streamlined workflows, and robust data security for diverse clinical applications.
Categories	Cardiology AI, Radiology & Imaging AI	Cardiology AI, OB/GYN AI, Radiology & Imaging AI
Specialties	Cardiology, Radiology	Maternal-Fetal Medicine, Obstetrics & Gynecology, Radiology
Key Features	AI-powered quantitative analysis of atherosclerotic plaque, Detection and characterization of coronary artery plaque, Measurement of luminal stenoses, Analysis of coronary anatomy and pathology from CT Angiographic images, Workstation-based post-processing application, Automated vessel, plaque, and lumen segmentation (reviewable and editable by clinician), Review of heart and coronary vessels in Multiplanar Reformatting (MPR), curved MPR, and straightened MPR views, Measurement of vessel diameter and area	Crystal Architectureu2122 (CrystalBeamu2122 & CrystalLiveu2122) for enhanced image quality, AI-powered HeartAssistu2122 for automated fetal heart assessment, AI-powered NerveTracku2122 for real-time nerve detection, AI-powered BiometryAssistu2122 for automated fetal measurements, AI-powered LaborAssistu2122 for fetal angle of progression estimation, World's first fanless design for silent operation and extended lifespan, DICOM 3.0 compatibility for seamless image management, Comprehensive cybersecurity: Windows 11 OS, SSD encryption (BitLocker), DICOM TLS, Audit Trails

Videos

Demos, reviews, and walkthroughs featuring Autoplaque and cV4 Diagnostic Ultrasound System.

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Frequently Asked Questions

How do these tools integrate into existing clinical workflows and EHR systems?

Autoplaque is a workstation-based post-processing application designed to integrate into routine CCTA workflow, functioning as a second reader and clinical decision support tool. It processes DICOM image data from a local hard drive and allows for automated vessel, plaque, and lumen segmentation that can be reviewed and edited by the clinician. The cV4 Diagnostic Ultrasound System, being a physical hardware device, focuses on streamlining workflows through AI-powered features like HeartAssistu2122, NerveTracku2122, BiometryAssistu2122, and LaborAssistu2122 for automated measurements and enhanced efficiency. It also features DICOM 3.0 compatibility for seamless image management.

What is the accuracy and sensitivity of each tool for its respective diagnostic purpose?

Autoplaque demonstrates high accuracy in quantifying coronary plaque and stenosis from CT angiography images. Studies show strong correlation and high accuracy when compared with intravascular ultrasound (IVUS), the gold standard for plaque detection. For example, it has shown an overall agreement of 0.95 Dice similarity with expert annotators for lumen and vessel segmentation. For the cV4 Diagnostic Ultrasound System, general diagnostic ultrasound systems are assessed by fundamental performance measures including detail resolution, contrast resolution, temporal resolution, and sensitivity, all of which are quantifiable. AI-powered ultrasound systems have shown high accuracy (e.g., 98.0% for hemorrhage detection) and can improve diagnostic consistency.

What is the learning curve for physicians to effectively use each tool?

Autoplaque is intended for use by trained medical professionals, including cardiologists and radiologists, who have been appropriately trained in its functions, capabilities, and limitations. Its automated segmentation is reviewable and editable, suggesting a degree of user interaction and a learning curve to master the editing functions. The cV4 Diagnostic Ultrasound System, with its AI-powered assistance for automated measurements and a dedicated cardiovascular control panel, aims to provide an intuitive, user-friendly experience, which could suggest a reduced learning curve for basic operations.

What kind of customer support and resources are available for each tool?

The provided information does not explicitly detail the specifics of customer support for Autoplaque beyond general FDA communication. For the cV4 Diagnostic Ultrasound System, while not explicitly stated, Samsung Medison, as a medical device company, would typically offer support for their hardware, including potential service agreements and technical assistance, with a focus on ensuring optimized performance.

What are the audit-trail features for each tool to ensure data integrity and accountability?

Autoplaque's description does not explicitly detail audit-trail features. The cV4 Diagnostic Ultrasound System, however, is designed with robust data security features for Protected Health Information (PHI) handling, including audit trails, SSD encryption (BitLocker), and DICOM TLS for transmission.

What clinical context would help a physician choose between Autoplaque and the cV4 Diagnostic Ultrasound System?

A physician would choose Autoplaque for quantitative analysis of coronary plaques and luminal stenoses from CT angiography images, aiding in heart attack risk prediction and treatment guidance, particularly for assessing atherosclerosis and plaque burden. The cV4 Diagnostic Ultrasound System would be chosen for real-time diagnostic ultrasound imaging across diverse clinical applications, including advanced imaging, streamlined workflows, and AI-powered assistance for fetal heart assessment, nerve detection, and fetal measurements.