What if you could improve the diagnostic quality and utilization of your existing CT scanners without incurring the high cost associated with replacing them and refurbishing the CT suite? Using Deep Learning technology PixelShine can automatically enhance and harmonize the image quality of studies acquired by any CT scanner at the lowest possible dose – extending the life of older scanners and deferring costly and disruptive replacement projects. You find this exceptional opportunity on our AI platform Radailogy. It has a substantial impact on the traditional revenue stream of hospitals and imaging providers.

Not only trauma centres and radiology institutes, but every doctor has to deal with the diagnosis of fractures. X-rays are still the first line modality, especially for peripheral skeletal trauma. Radailogy offers you a new CE approved app from the French company AZmed: Rayvolve. Either let Rayvolve process your X-ray images always in the background, or send us selected images with a specific question. Rayvolve has been trained on data sets of one million trauma images. AZmed gives Rayvolve a sensitivity of 96% and a specificity of 86%. In our own test series, Rayvolve performed as follows: Sensitivity 93%, Specificity 86%, PPW 92%, NPW 89%, Accuracy 91%. In a multicentre study, Rayvolve provided a time saving of 36% and an increase in specificity of 8%.
Rayvolve is proving to be a valuable aid for doctors in daily practice: whether the app is used occasionally, for example in doctors’ surgeries, or whether it is used to optimise the workflow in medical centres.
The best way to request Rayvolve is with our Radailogy services Defained or Pure AI. Register, upload and get started!
Info at www.radailogy.com

Not only trauma centers and radiological institutes, but every doctor has to do with diagnosing fractures. X-rays are still the first line modality, especially in the case of trauma to the peripheral skeleton. Radailogy offers you a new, CE-approved app from AZmed in France: Rayvolve. Either let Rayvolve always process your X-ray images in the background, or you can send us selected images with a specific question. Rayvolve was trained on records from a million trauma images. AZmed shows Rayvolve a sensitivity of 96% and a specificity of 86%. In our own test series Rayvolve performed as follows: Sensitivity 93%, Specificity 86%, PPW 92%, NPW 89%, Accuracy 91%. In a multicenter study, Rayvolve achieved a time saving of 36% and an increase in specificity of 8%.

Rayvolve proves to be a valuable help for doctors in daily practice: be it that the app is used occasionally, for example in doctor’s offices, or that it is used to optimize the workflow in medical centers.

Rayvolve is best to request using our Radailogy services Defained or Pure AI. Register, upload and let’s go!