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Rayvolve

Rayvolve

Developed byAZmed

What is Rayvolve?

Rayvolve by AZmed is an AI tool designed for X-ray diagnostics that seamlessly fits into the existing workflows of healthcare providers. It offers rapid detection of fractures, thereby reducing false negatives and saving time.

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About the Algorithm

DETAILS
A comprehensive look at AI-powered X-Ray diagnosis and triage

Rayvolve, a product of AZmed, is an AI-driven tool that revolutionizes the way we handle X-rays. As a CE IIa and FDA-cleared solution, Rayvolve offers comprehensive detection of all kinds of fractures on X-rays. But what sets it apart is its seamless integration into healthcare workflows, directly connecting with PACS & RIS without requiring any additional clicks from physicians. Clinical trials attest to its performance, with Rayvolve reducing false negatives by 67% and saving clinicians 27% of their time.

The benefits

  • Integration: Seamless integration into existing PACS & RIS.
  • Effectiveness: Reduction in false negatives by an astounding 67%.
  • Time-saving: Cutting down interpretation and decision-making by 27%.
  • Interoperable: Completely interoperable with existing medical tools.

Key features

  • Comprehensive detection and triage capabilities.
  • Compatibility with both adult and pediatric X-rays.
  • Processing time of less than one minute.
  • Input and output in DICOM format.

Body Part

Rayvolve concentrates on MSK (all body parts except the skull) and chest X-rays, with capabilities to detect a wide range of pathologies including consolidation, pneumothorax, pleural effusion, acute pulmonary edema, cardiomegaly, pulmonary nodules, and costal grill fractures.

Suggested use

The algorithm is perfect for emergency departments and orthopedic clinics where rapid and accurate diagnosis is imperative. It offers a preliminary opinion that can be especially beneficial during on-call duties and out-of-hours service.

Data characteristics

Detection and triage of fractures and a wide range of chest pathologies with input and output in DICOM format.

How Can a Deep Learning Algorithm Improve Fracture Detection on X-rays in the Emergency Room? External validation of a commercially available deep learning algorithm for fracture detection in children
Review

The implementation of AZmed’s Rayvolve AI software for fracture detection at our institution has particularly helped our junior clinicians and practitioners in the emergency department, especially out of hours with additional support in image interpretation and diagnosis, which in turn allows for a more efficient and streamlined patient treatment pathway into Orthopaedic fracture clinic.

Review

The implementation of AZmed’s Rayvolve AI software for fracture detection at our institution has particularly helped our junior clinicians and practitioners in the emergency department, especially out of hours with additional support in image interpretation and diagnosis, which in turn allows for a more efficient and streamlined patient treatment pathway into Orthopaedic fracture clinic.

Dr Subhasis Basu MSK radiologist Wrightington Hospital (WWL NHS Trust)
OUR PARTNERS

Developed by

  • linkedian

Founded on the principle of leveraging AI to enhance healthcare, AZmed aims to provide high-impact solutions like Rayvolve that make the diagnosis process both efficient and reliable. Rayvolve has received praise from healthcare professionals around the globe for its significant contributions to improving patient care.

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