Rayvolve

by AZmed SAS  · Based in France → — Your AI Partner for Medical Imaging
Emergency Medicine Orthopedics Radiology

Subscription
Regulatory Status Disclosed

Overview

Rayvolve by AZmed is an advanced AI-powered software suite designed to enhance the accuracy and efficiency of X-ray diagnostics for healthcare professionals. Leveraging deep learning algorithms, Rayvolve seamlessly integrates into existing radiology workflows, including PACS and RIS environments, without requiring changes to clinicians’ habits. It provides rapid, computer-aided detection and localization of various pathologies, significantly reducing interpretation time and diagnostic errors.

The platform’s core offering, AZtrauma (Rayvolve for Trauma), focuses on comprehensive fracture detection across all body parts (excluding the skull) for both adult and pediatric patients (≥ 2 years) on musculoskeletal X-rays. Rayvolve has demonstrated high standalone accuracy, improving diagnostic accuracy by 5.6% and decreasing interpretation time by 27% in studies. It can reduce false negatives by up to 67% and improve turnaround time by up to 83%.

Beyond trauma, AZmed offers AZchest, an AI solution for chest X-rays that automatically categorizes, detects, and reports on major cardiac and lung abnormalities such as consolidation, pneumothorax, pleural effusion, acute pulmonary edema, cardiomegaly, and pulmonary nodules. The Rayvolve AI Suite is deployed in over 2,500 healthcare facilities across more than 55 countries, aiming to optimize physicians’ workflows and improve patient care globally.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Automatic detection and localization of fractures on X-rays
  • Comprehensive detection and triage capabilities for fractures and chest pathologies
  • Compatibility with adult and pediatric X-rays (u2265 2 years)
  • Processing time of less than one minute
  • Input and output in DICOM format
  • Seamless integration into existing PACS & RIS workflows
  • Reduction in false negatives (up to 67%)
  • Reduction in interpretation time (up to 27%) and turnaround time (up to 83%)
  • Detection of various chest pathologies (e.g., consolidation, pneumothorax, pleural effusion, cardiomegaly, pulmonary nodules)
  • Prioritization of critical cases

Use Cases

  • Assisting radiologists and emergency physicians in fracture detection
  • Improving diagnostic accuracy in emergency departments
  • Streamlining workflows in orthopedic clinics
  • Providing support during on-call duties and out-of-hours service
  • Detecting and reporting cardiac and lung abnormalities on chest X-rays
  • Reducing workload and improving efficiency in radiology departments

Details

Category Radiology & Imaging AI
Pricing Subscription — Subscription; based on number of analyses; pricing based on contract duration and terms with vendor.
DeploymentOn-premise, on cloud, secure local processing and delivery of DICOM images (e.g., PACS); integration via AI marketplace or distribution platform.
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

Rayvolve received FDA 510(k) clearance K240845 on July 17, 2024, for detecting fractures on osteoarticular X-rays in adult and pediatric populations (≥ 2 years). Additionally, AZmed's AZchest solution has received separate FDA clearances for detecting lung nodules and triaging pneumothorax and pleural effusion on chest X-rays.

Integrations
EHR Not specified
Specialties Emergency Medicine, Orthopedics, Radiology

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Frequently Asked Questions

Rayvolve is an AI-powered computer-aided diagnosis (CAD) software suite developed by AZmed, designed to assist radiologists and emergency physicians in detecting abnormalities on standard X-rays. It integrates seamlessly into existing Picture Archiving and Communication Systems (PACS) and Radiology Information Systems (RIS) workflows, providing AI-annotated images directly within the clinician's interpretation console without adding extra steps.
Rayvolve's AI suite, including modules like AZtrauma and AZchest, is capable of detecting various pathologies such as fractures, dislocations, joint effusions, pneumothorax, pleural effusion, consolidation, cardiomegaly, acute pulmonary edema, pulmonary nodules, and rib fractures. It is cleared for use in both adult and pediatric populations (specifically for fracture detection in patients aged 2 years and older).
Yes, Rayvolve is CE-marked as a Medical Device Class IIa in Europe, complying with the Medical Device Regulation (2017/745), and is FDA-cleared as a Class II medical device in the US for various indications. Its performance is backed by over 30 clinical studies and more than 10 peer-reviewed publications, demonstrating its efficacy in improving diagnostic accuracy and efficiency.
Rayvolve has been compared in head-to-head studies with other AI tools like BoneView and RBfracture, often demonstrating high sensitivity for fracture detection and dislocations. Its key advantages include seamless PACS/RIS integration, proven ability to reduce false negatives by up to 67%, and significant reduction in interpretation time, making it a widely adopted solution globally.
While highly effective, no AI tool, including Rayvolve, is 100% accurate and requires a radiologist's final clinical judgment. Its accuracy can be limited in complex scenarios such as multiple fractures or dislocations, and general AI limitations like potential biases from training data or workflow integration challenges can still exist. Physicians must use it as an assistive tool rather than a standalone diagnostic.
The pricing for Rayvolve is generally based on the duration and terms of a contract with the vendor, entitling the facility to a specified quantity of use for the contract duration. Specific pricing figures are not publicly disclosed, but it operates on a subscription or contract-based model, with potential additional costs for AWS infrastructure if deployed on that platform.
Clinical studies indicate that Rayvolve can significantly improve diagnostic accuracy, with reported increases in overall accuracy by 5.6% and sensitivity for fracture detection. It also substantially enhances efficiency, reducing reading and interpretation time by an average of 27% to 36% and cutting false negatives by up to 67%.

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Suggest an Edit → | Last Verified: 2026-04-20 | First Added: 2026-04-20
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