We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




AI-Enabled Chest X-Ray Solution Elevates ICU and ER Care Pathways

By MedImaging International staff writers
Posted on 14 Sep 2023
Print article
Image: The qXR AI-enabled chest X-ray solution has received 510(k) FDA clearance under two critical findings (Photo courtesy of Qure.ai)
Image: The qXR AI-enabled chest X-ray solution has received 510(k) FDA clearance under two critical findings (Photo courtesy of Qure.ai)

Pneumothorax (PTX), a condition where air collects in the pleural space and causes lung collapse, and pleura effusion (PE) in which fluid accumulates in the pleural cavity, create serious challenges in emergency rooms and intensive care units (ICUs). Now, an AI-enabled chest X-ray solution has received 510(k) FDA clearance to triage PTX and PE.

Qure.ai (Mumbai, MH, India) has secured 510(k) FDA clearance for its artificial intelligence-powered chest X-ray solution, known as qXR, specifically for the rapid identification of PTX and PE. This new clearance adds to the company's existing FDA-approved product range, which includes solutions like qXR-BT for breathing tube positioning, qER for emergency room head CT scans, and qER-Quant for head CT quantification software. qXR is designed to integrate seamlessly into current healthcare pathways, enhancing both ICU and ER operational efficiency. Clinical evaluations of qXR's effectiveness in identifying PTX have demonstrated outstanding accuracy in providing rapid passive notifications that take an average of just 10 seconds to reach healthcare staff.

Such rapid alerting capabilities make qXR-PTX-PE an invaluable asset for timely medical decision-making, particularly in critical settings like ICUs and emergency departments. The technology employs a training dataset gathered from multiple global sources and fits seamlessly into the current standard healthcare protocols, acting as a passive notification system for prioritizing tasks. A multi-center study assessing overlooked and incorrectly labeled chest X-ray findings for conditions like PTX and PE showed that the qXR algorithm achieved up to 96% sensitivity and 100% specificity.

“Speaking to physicians and hospital CEOs, we have heard the increasing need to reduce time to diagnosis." said Prashant Warier, CEO and Co-Founder of Qure. The FDA clearance of the qXR algorithm further demonstrates Qure’s commitment to addressing these challenges by optimizing healthcare delivery in time-sensitive settings like the ICU and ER.”

Related Links:
Qure.ai 

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
1.5T MRI System
uMR 670
Ultrasound Needle Guide
Ultra-Pro II
Computed Tomography (CT) Scanner
Aquilion Serve SP

Print article

Channels

Ultrasound

view channel
Image: The powerful machine learning algorithm can “interpret” echocardiogram images and assess key findings (Photo courtesy of 123RF)

Largest Model Trained On Echocardiography Images Assesses Heart Structure and Function

Foundation models represent an exciting frontier in generative artificial intelligence (AI), yet many lack the specialized medical data needed to make them applicable in healthcare settings.... Read more

Nuclear Medicine

view channel
Image: The multi-spectral optoacoustic tomography (MSOT) machine generates images of biological tissues (Photo courtesy of University of Missouri)

New Imaging Technique Monitors Inflammation Disorders without Radiation Exposure

Imaging inflammation using traditional radiological techniques presents significant challenges, including radiation exposure, poor image quality, high costs, and invasive procedures. Now, new contrast... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.