EFAI ChestSuite XR Pleural Effusion Assessment System
Overview
Ever Fortune.AI Co., Ltd. is a technology company specializing in artificial intelligence solutions for the healthcare sector, leveraging advanced AI and big data analysis to improve patient outcomes and assist in diagnostics and disease prediction. The company is committed to innovative developments in artificial intelligence, smart medicine, and precision medicine as a pioneer of digital healthcare.
The EFAI ChestSuite XR Pleural Effusion Assessment System is a radiological computer-assisted triage and notification software system. It utilizes deep learning techniques to automatically analyze PA chest X-rays, identifying suspected findings of pleural effusion. The system then sends notification messages to the Picture Archiving and Communication System (PACS) or Radiology Information System (RIS), enabling worklist prioritization and triage for medical specialists. It is designed to enhance clinical workflow efficiency and is not intended for stand-alone clinical decision-making.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Radiological computer-assisted triage and notification software
- Utilizes deep learning techniques for automated analysis of PA chest X-rays
- Identifies suspected pleural effusion findings
- Sends notification messages to PACS/RIS for worklist prioritization
- High sensitivity (95%) and specificity (97%) for pleural effusion detection
- Average performance time of 19.6 seconds
- Not intended for stand-alone clinical decision-making
- Part of ChestSuite XR Assessment System, which also assesses pneumothorax, cardiothoracic ratio, and endotracheal tube depth
Use Cases
- Workflow triage in hospital networks
- Assisting medical specialists in prioritizing chest X-ray cases with suspected pleural effusion
- Improving image interpretation efficiency for physicians
- Shifting radiology focus from volume to value by identifying high-confidence no-findings X-rays
- Applicable in hospitals, health examination centers, and mobile health clinics
What Physicians Need to Know
Leverage the EFAI ChestSuite XR Pleural Effusion Assessment System for efficient triage and prioritization of chest X-rays, especially in high-volume settings. The system's rapid processing speed and high sensitivity/specificity for pleural effusion can aid in quickly identifying critical cases, allowing radiologists to focus on complex interpretations. Remember that it functions as a computer-aided triage and notification tool, and its results are not intended for standalone clinical decision-making.
The system is designed for seamless integration with existing PACS/RIS workstations via DICOM, enabling automated image analysis and the proactive sending of alerts for suspected findings. Deployment is recommended within a local network with existing hospital-grade IT systems, installed on a specialized server supporting deep learning processing.
Details
| Category | Radiology & Imaging AI, Triage & ER/ICU AI |
| Pricing | Contact for pricing |
| Deployment | Local network with an existing hospital-grade IT system; installed on a specialized server supporting deep learning processing. |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated The EFAI ChestSuite XR Pleural Effusion Assessment System received U.S. FDA 510(k) clearance (K222076) on September 8, 2022, as a radiological computer-assisted triage and notification software for lesions. |
| Integrations | |
| EHR | Not specified |
| Specialties | Emergency Medicine, Pulmonology, Radiology |
What the Web Says
The EFAI ChestSuite XR Pleural Effusion Assessment System is an AI-powered software designed to analyze PA chest X-rays for suspicious findings of pleural effusion, aiming to aid in the prioritization and triage of radiological medical images. It uses deep learning techniques to identify potential pleural effusions and sends notifications to PACS/workstations, helping radiologists and emergency physicians accelerate image review workflows and potentially reduce missed diagnoses. The system has received FDA clearance and demonstrated high sensitivity and specificity in detecting pleural effusion.
Overall: PositiveStrengths
- High sensitivity (95%) and specificity (97%) for detecting pleural effusion.
- Aids in worklist prioritization and triage of chest X-ray cases, potentially speeding up diagnosis for urgent cases.
- Uses deep learning techniques for automated analysis of PA chest X-rays.
- Comparable performance time to predicate devices.
- Consistent performance across various subgroups including gender, data source, scanner manufacturers, size, and location of pleural effusion.
- Integrates into existing PACS/workstation workflows.
Limitations
- Not intended for stand-alone clinical decision-making or to rule out pleural effusion.
- Performance may be reduced for small, trace, or complex effusions and in critically ill patients, based on a systematic review of AI-assisted TUS for PE detection.
- AI tools, in general, can produce more false-positive results than radiologists, and their performance may decrease with multiple findings or smaller targets.
- Limited information available from independent tech reviewers, G2, Capterra, or extensive Reddit discussions specifically about this product.
- Overall certainty of AI-assisted TUS for PE detection is low-to-moderate due to methodological weaknesses in studies.
- Requires installation on a specialized server supporting deep learning processing within a hospital-grade IT system.
Based on reviews from: accessdata.fda.gov, EverFortune.AI, X-ray Interpreter, Diagnostic Imaging, MDPI, PubMed, AuntMinnie, Radiology (RSNA), Imaging Technology News, Muriel Steele Society, Applied Radiology, Reddit, Thoracic Research and Practice
Last updated: 2026-07-18
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ud83dudea8Chest X-Ray Findings in Pneumonia with Pleural Effusion ud83eude7b #shorts #radiology #chest #doctor
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