EPIQ Series Diagnostic Ultrasound System vs QFR

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.
EPIQ Series Diagnostic Ultrasound System
by Philips
VS
QFR
by Medis Medical Imaging

AI Verdict

Tool A is a comprehensive AI-powered ultrasound system offering broad diagnostic imaging across various specialties, including cardiology, for real-time assessment. In contrast, Tool B is a specialized AI-powered software focused on quantitative flow ratio analysis of X-ray angiographic images specifically for coronary lesion assessment. While both leverage AI in cardiology and imaging, they serve distinct diagnostic modalities and clinical applications, making them complementary rather than direct competitors.

Choose EPIQ Series Diagnostic Ultrasound System if…

Choose the Philips EPIQ Series Diagnostic Ultrasound System if your institution requires a versatile, high-performance ultrasound solution capable of supporting a wide array of clinical specialties, from cardiology to OB/GYN and radiology. This system is ideal for facilities seeking advanced AI-powered imaging, automated measurements, and intelligent workflows to enhance diagnostic confidence across diverse patient populations and complex cases.

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Choose QFR if…

Choose QFR by QFR Solutions bv if your cardiology department needs a specialized, FDA-cleared AI-powered software for precise quantitative flow ratio (QFR) analysis of coronary vessel lesions from X-ray angiographic images. This tool is best suited for cardiologists focused on accurately assessing the functional significance of coronary stenoses, enabling data-driven decisions for interventional procedures.

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Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Quick Comparison

Feature EPIQ Series Diagnostic Ultrasound System QFR
Deployment Unknown On-premise (integrates into cath lab environment)
FDA Status Unknown Cleared AI-estimated

Feature-by-Feature

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

Feature EPIQ Series Diagnostic Ultrasound System QFR
Name EPIQ Series Diagnostic Ultrasound System QFR
Company Philips Ultrasound QFR Solutions bv
Categories Cardiology AI, OB/GYN AI, Radiology & Imaging AI Cardiology AI, Radiology & Imaging AI
Specialties Cardiology, Emergency Medicine, Interventional Radiology, Obstetrics & Gynecology, Orthopedics, Pediatrics, Radiology, Urology Cardiology
Key Features AI-Enhanced Imaging & Automated Measurements, PureWave Crystal Technology, Anatomical Intelligence Ultrasound (AIUS) Quantitative Flow Ratio (QFR) assessment for functional significance, 3D reconstruction of coronary vessel models, AI-enabled end-diastolic frame selection

Videos

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Frequently Asked Questions

The Philips EPIQ Series Diagnostic Ultrasound System offers AI-powered imaging for diverse clinical applications across specialties like Cardiology, OB/GYN, Radiology, Emergency Medicine, and Orthopedics. In contrast, QFR by QFR Solutions bv is an AI-powered medical software specifically designed for the visualization and quantitative flow ratio (QFR) analysis of X-ray angiographic images of coronary vessel segments, aiding cardiologists in lesion assessment.
The Philips EPIQ Series utilizes AI for enhanced imaging, automated measurements, and workflow solutions, including Anatomical Intelligence Ultrasound (AIUS) and SmartExam features. QFR, on the other hand, employs AI for quantitative analysis of X-ray angiographic images, 3D reconstruction of coronary vessel models, automatic detection of vessel contours, and quantitative flow ratio (QFR) assessment for functional significance.
The Philips EPIQ Series Diagnostic Ultrasound System is designed to process and enhance diagnostic ultrasound images across various anatomical regions. QFR by QFR Solutions bv specializes in the analysis of X-ray angiographic images, specifically focusing on coronary vessel segments to assess lesions and their functional significance.

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