EFAI Intelligent Cardiothoracic Ratio (iCTR) Assessment System
Overview
The EFAI Intelligent Cardiothoracic Ratio (iCTR) Assessment System is an advanced software solution designed for hospitals and clinics. It leverages artificial intelligence algorithms to automatically assess the cardiothoracic ratio (CTR) from posterior-anterior (PA) chest X-ray images. The system precisely measures the maximal transverse diameter of the heart and the maximal inner transverse diameter of the thoracic cavity to calculate the CTR. This automation aims to enhance the efficiency of report generation and provide valuable assistance to physicians in their clinical decision-making and patient care processes. Ever Fortune. AI Co. specializes in AI solutions for the healthcare sector, focusing on medical big data and cloud-based biomedical platforms to aid in diagnostics and disease prediction across various medical specialties, including cardiology, oncology, and neurology.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Automatic Cardiothoracic Ratio (CTR) assessment from chest X-rays
- Measures maximal transverse diameter of heart and thoracic cavity
- Utilizes artificial intelligence algorithm for analysis
- Supports posterior-anterior (PA) chest view X-ray images
- Outputs structured reports
- Optimizes report generation efficiency
- Assists physicians in clinical decision-making and patient care
- Non-invasive software medical device
- DICOM image analysis compatibility
- Suitable for adults between 20-80 years of age
Use Cases
- Screening for cardiomegaly and heart diseases
- Assisting radiologists and physicians in efficient CTR measurement
- Optimizing clinical workflow in cardiology and radiology departments
- Supporting diagnostics and disease prediction in healthcare institutions
What Physicians Need to Know
The EFAI iCTR system is an assistive tool for objective and efficient cardiothoracic ratio assessment from chest X-rays. Its results are not intended to be used on a stand-alone basis for clinical decision-making or to preclude comprehensive clinical assessment of any disease. Always correlate iCTR findings with patient history, physical examination, and other diagnostic tests to ensure appropriate diagnosis and management, especially when identifying potential cardiomegaly and stratifying risk for conditions like severe left ventricular hypertrophy and dilated left ventricle.
As a software system for X-ray image analysis, the EFAI iCTR is designed for use by hospitals and clinics. While specific integration details are not provided, it would typically integrate with Picture Archiving and Communication Systems (PACS) for image acquisition and Electronic Health Record (EHR) systems for reporting and clinical context, facilitating seamless incorporation into existing radiology and cardiology workflows.
Details
| Category | Cardiology AI |
| Pricing | Contact for pricing |
| Deployment | Available in cloud-based versions for small- to medium-sized clinics and localized versions for larger hospitals. Can be customized for integration with existing PACS systems. |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated The EFAI Intelligent Cardiothoracic Ratio (iCTR) Assessment System received U.S. FDA 510(k) clearance (K212624) on April 4, 2022. It is classified as a Class II medical device under regulation 21 CFR 892.2050 (Medical Image Management And Processing System). The system is intended for use by hospitals and clinics to automatically assess the cardiothoracic ratio (CTR) of a chest X-ray image from the X-ray imager subject using an artificial intelligence algorithm. Its results are not intended to be used on a stand-alone basis for clinical decision-making. |
| Integrations | |
| EHR | Not specified |
| Specialties | Cardiology, Radiology |
What the Web Says
The EFAI Intelligent Cardiothoracic Ratio (iCTR) Assessment System is an AI-powered software designed for hospitals and clinics to automatically measure the cardiothoracic ratio (CTR) from posterior-anterior (PA) chest X-ray images. It aims to assist physicians and licensed practitioners in assessing cardiomegaly by providing standardized and automated CTR calculations, thereby supporting clinical workflow and potentially reducing manual workload and inter-observer variability. The system is intended for use in adults aged 20-80 years and is not meant to be a standalone diagnostic tool.
Overall: PositiveStrengths
- Automated and standardized CTR calculation, reducing manual effort and potential for human error.
- High accuracy in comparing iCTR-derived CTR to physician-derived CTR (0.95).
- Aids in early detection of heart failure and cardiomegaly.
- Can significantly shorten diagnosis time for patients.
- Reduces observer variation and operation time.
- FDA 510(k) cleared, indicating it meets regulatory standards for safety and effectiveness.
Limitations
- Not intended for standalone clinical decision-making; results must be used in conjunction with clinical assessment.
- Limited to posterior-anterior (PA) chest X-ray images.
- Suitable only for adults between 20-80 years of age.
- Some studies on AI-only CTR methods show higher variation compared to manual methods.
- Radiographic cardiomegaly, even with AI, has limitations as a screening tool for congestive heart failure diagnosed by echocardiography.
Based on reviews from: FDA 510(k) K212624 (Ever Fortune.AI Co., Ltd.), FDA 510(k) K232613 (CT Cardiomegaly, predicate device comparison), FDA 510(k) K231149 (Qure.ai qXR-CTR, predicate device comparison), PMC: AI-based measurement of cardiothoracic ratio in chest X-rays and prediction of echocardiographic congestive heart failure, PMC: Cardiothoracic ratio measurement using artificial intelligence: observer and method validation studies, MDPI: Measurement of Cardiothoracic Ratio on Chest X-rays Using Artificial Intelligenceu2014A Systematic Review and Meta-Analysis, Hospitals & Health Networks: FDA Clears AI-Powered Cardiothoracic Ratio Assessment for Chest X-Rays, RecallHawk: Ever Fortune.Ai, Co., Ltd. u2014 FDA Actions, Reddit: Is Artificial Intelligence Better at Assessing Heart Health?, PMC: External Validation of an Artificial Intelligence Triaging System for Chest X-Rays: A Retrospective Independent Clinical Study
Last updated: 2026-07-18
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