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 hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




AI X-Ray Diagnostic Tool Offers Rapid Pediatric Fracture Detection

By MedImaging International staff writers
Posted on 10 Sep 2024
Image: The Rayvolve solution has received US FDA 510(k) clearance for pediatric fracture detection (Photo courtesy of AZmed)
Image: The Rayvolve solution has received US FDA 510(k) clearance for pediatric fracture detection (Photo courtesy of AZmed)

The increasing demand for emergency imaging has led to a surge in the use of traditional X-rays, especially for assessing traumatic injuries. Conventional X-ray still remains the first radiological test for suspected fractures. Yet, identifying fractures in X-rays in the emergency room (ER) is challenging, particularly due to the constant influx of patients around the clock and the dependence on less experienced radiologists for initial assessments. Deep learning (DL) algorithms offer the potential to enhance fracture detection by radiologists and ER physicians. Now, a new generation of software based on DL technology can aid the accurate diagnosis of fractures and reduce diagnostic errors.

AZmed’s (Paris, France) Rayvolve is a computer-assisted detection and diagnosis software device capable of detecting fractures on standard X-rays, allowing doctors to save time and increase diagnosis accuracy. Rayvolve detects and automatically ranks X-rays that show signs of abnormalities, allowing radiologists to prioritize these cases in their workflow. Rayvolve has now achieved 510(k) clearance from the U.S. Food and Drug Administration (FDA) for its use in pediatric fracture detection, following its prior clearance for adult applications. This approval was bolstered by an independent study that affirmed Rayvolve's effectiveness in a clinical setting, analyzing a dataset of 3,000 pediatric radiographs. The study highlighted Rayvolve's high sensitivity (96%) and specificity (86%), marking it as one of the most proficient tools for assisting radiologists in spotting fractures in children, with an Area Under the Curve (AUC) of 94%.

This FDA clearance marks a significant expansion opportunity for AZmed in the U.S. medical imaging market. The company's strategy to introduce Rayvolve to more U.S. healthcare providers is aimed at refining traditional diagnostic approaches by accelerating fracture detection and mitigating the effects of clinician fatigue and workload. As Rayvolve becomes more widely adopted, AZmed continues to invest in the development of AI-based, clinically validated technologies that enhance both patient care and healthcare operational efficiency.

"The 510(k) clearance reflects our commitment to meeting the needs of healthcare professionals," said Julien Vidal, CEO of AZmed. "We are excited to extend our innovation to pediatric care, empowering clinicians with advanced tools to achieve the best outcomes for their patients."

Related Links:
AZmed

Post-Processing Imaging System
DynaCAD Prostate
Ultrasound Table
Women’s Ultrasound EA Table
Ultrasound-Guided Biopsy & Visualization Tools
Endoscopic Ultrasound (EUS) Guided Devices
Breast Localization System
MAMMOREP LOOP

Channels

Nuclear Medicine

view channel
Image: LHSCRI scientist Dr. Glenn Bauman stands in front of the PET scanner (Photo courtesy of LHSCRI)

New Imaging Solution Improves Survival for Patients with Recurring Prostate Cancer

Detecting recurrent prostate cancer remains one of the most difficult challenges in oncology, as standard imaging methods such as bone scans and CT scans often fail to accurately locate small or early-stage tumors.... Read more

General/Advanced Imaging

view channel
Image: Concept of the photo-thermoresponsive SCNPs (J F Thümmler et al., Commun Chem (2025). DOI: 10.1038/s42004-025-01518-x)

New Ultrasmall, Light-Sensitive Nanoparticles Could Serve as Contrast Agents

Medical imaging technologies face ongoing challenges in capturing accurate, detailed views of internal processes, especially in conditions like cancer, where tracking disease development and treatment... 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 © 2000-2025 Globetech Media. All rights reserved.