AZmed Joins AI Connect Marketplace with Diagnostic Tool for Bone Lesions
Rayvolve from AZmed is a powerful computer-aided diagnosis tool that detects all types of fractures in radiography. The solution integrates seamlessly with today’s radiology software to save time for physicians, using deep learning technologies to deliver a 36% reduction in image interpretation time, which allows radiologists to focus on more complex diagnoses. Rayvolve also reduces the number of diagnostic errors by 20%.
Hospitals and NHS Trusts can integrate Rayvolve into their existing radiology workflows with our AI Connect gateway, which can be used to embed algorithms into any RIS or PACS, optimising and accelerating the rate of adoption. With radiology departments struggling to meet the fast-growing demand for complex imaging, it is important that they have access to solutions that can help streamline processes.
Chris Yeowart, Director at Wellbeing said:
“There are more than 1.96 million X-ray imaging tests carried out every month in the NHS, and the demand for imaging services far exceeds the number of radiologists. Through our expanding network of AI partners, we are able to offer a broad range of algorithms to enhance clinical decision-making and optimise radiology workflows, without interrupting existing services. AZmed offers extensive experience in bone radiography and we look forward to introducing them to the market over the coming months.”
Julien Vidal, AZmed CEO said:
“The number of medical imaging requests has doubled in the last ten years, whilst the number of specialists has marginally increased during the same period. With Rayvolve, doctors can analyze images faster, as well as reduce the risk of medical errors. We are delighted to be working with Wellbeing to be able to offer our solution to NHS providers.”
AZmed is one of only a few companies in the world that has been granted CE-marked medical device certification for deep learning radiology software. They are the latest vendor to join Wellbeing’s AI Connect Marketplace, which offers a vendor-neutral catalogue of algorithms ready to embed into radiology workflows.