AutoRay SIGNED
New solution for fully automated analysis and reporting of routine musculoskeletal X-rays
Total Cost €
0EC-Contrib. €
0Partnership
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0AutoRay project word cloud
Explore the words cloud of the AutoRay project. It provides you a very rough idea of what is the project "AutoRay" about.
Project "AutoRay" data sheet
The following table provides information about the project.
| Coordinator |
RADIOBOTICS APS
Organization address contact info |
| Coordinator Country | Denmark [DK] |
| Project website | https://radiobotics.com/ |
| Total cost | 71˙429 € |
| EC max contribution | 50˙000 € (70%) |
| Programme |
1. H2020-EU.3. (PRIORITY 'Societal challenges) 2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs) 3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies) |
| Code Call | H2020-SMEInst-2018-2020-1 |
| Funding Scheme | SME-1 |
| Starting year | 2019 |
| Duration (year-month-day) | from 2019-03-01 to 2019-08-31 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | RADIOBOTICS APS | DK (KOBENHAVN) | coordinator | 50˙000.00 |
Map
Project objective
Routine radiology services are facing a huge problem delivering analysis of the very large number of X-ray images shortly after acquisition – leading to patients sometimes waiting for weeks for the results. The current number of radiologists is insufficient to efficiently analyse and deliver the medical report shortly, causing unnecessary stress for patients and potential delay in diagnosis and treatment. Radiobotics is developing a machine learning-based software that automatically analyses routine X-rays of the musculoskeletal system and generates the respective medical report. Although the recent advances in machine learning have accelerated the development of tools for medical imaging analysis, the solutions available are only semi-automatic and focused on other more acute and specific diagnoses. Radiobotics automatic software will decrease time use and improve diagnostic quality, greatly benefiting: 1) radiologists/physicians by lowering the amount of images queued up for analysis and increase the diagnostic volume that radiologists can deliver, while providing a more objective analysis; 2) hospitals/clinics/radiology centres by optimizing their workflow, saving costs and offering higher quality services to patients; and 3) patients by having access to a faster and accurate diagnosis and consequently early treatments. AutoRay project will enable maturing our technology to a market-ready software and also to implement an effective business and communication strategy to build market awareness, and customer trust. We are supported by clinical development partners in Denmark and UK, and our team has the right combination of expertise in biomedical engineering, machine learning, business development and commercialization to perform this project and fulfil all the needs and requests of end-users and customers, eventually benefiting the society as whole.
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The information about "AUTORAY" are provided by the European Opendata Portal: CORDIS opendata.