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 Assessment System provides an automated, standardized calculation of the cardiothoracic ratio from chest X-rays, which can be a valuable screening tool for cardiomegaly. This can help in quickly identifying patients who may require further cardiac evaluation. The system also outputs structured reports, which can optimize report generation efficiency. However, it's important to remember that the system is an assistive tool and does not replace clinical assessment or provide standalone diagnostic or prognostic predictions. The system is suitable for adults between 20 and 80 years of age.
The EFAI iCTR Assessment System is designed to integrate into existing radiology workflows. It receives DICOM images from modalities, analyzes them, and sends the results, including structured reports and annotated images, back to PACS.
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 |
| HIPAA Compliant | Unknown |
| FDA Status | Cleared AI-estimated |
| 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 to automatically calculate the cardiothoracic ratio from PA chest X-ray images. It is intended for use by physicians and licensed practitioners in healthcare settings to assist in clinical workflow, providing standardized and automated measurements. The system has undergone verification and validation testing, demonstrating high accuracy in its measurements compared to physician-derived CTRs.
Overall: PositiveStrengths
- Automated and standardized CTR calculation.
- High accuracy (0.95) compared to physician-derived CTR.
- Aids clinicians by providing automated measurements.
- Utilizes AI algorithms for image analysis.
- Outputs structured reports in DICOM/JSON format.
- FDA cleared (K212624).
Limitations
- Not intended for stand-alone use for clinical decision-making.
- Does not replace clinical assessment.
- Suitable for adults between 20-80 years of age only.
- Algorithm training data typically impacts device performance.
Based on reviews from: innolitics.com, parikhradiology.com, fda.gov, scribd.com
Last updated: 2026-10-30
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