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Connected health partnership offers NHS Trusts bone lesion solution

Connected health partnership offers NHS Trusts bone lesion solution

Connected health firm Wellbeing Software has partnered with AZmed to offer hospitals and NHS Trusts a solution that reduces image interpretation time when investigating bone lesions.

Rayvolve from AZmed is a computer-aided diagnosis tool that detects all types of fractures in radiography. The solution, which is available through Wellbeing’s AI Connect marketplace, integrates with 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 using Wellbeing’s 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.”

AZmed has been granted CE-marked medical device certification for deep learning radiology software.

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 analyse 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.”

Med-Tech Innovation

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