FastRAI

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

FastRAI

We are happy to announce that our proposal ‘FastRAi’ has been selected for the EIT Health 2020 portfolio as a COVID-19 Rapid Response project!

FastRAi (Flexible and Adaptive Software-Framework for X-Ray-enabled AI for COVID-19 detection) will involve radiology experts in support of their front-line colleagues and use the data obtained to create AI that can enhance the information obtained from lung x-rays. In the first part of the project, expert radiologists will support over-burdened hospitals dealing with COVID-19 by providing high quality reports on the medical images obtained at the hospitals. During this phase, the project will build a GDPR-compliant digital biobank of the images that are reviewed. Within six months, these images will allow the development of an AI algorithm that can project x-rays onto CT images and build up data on the progression of lung disease. Using this data, the FastRAi system will increase the information that doctors obtain from standard x-rays. The system will be able to analyse x-rays and detect features that are invisible to the human eye, in order to better estimate the progression of a patient’s lung disease.

Our Partners:

For more Information visit the project website.


WebEventForm
Title: FastRAi? selected for EIT Health 2020 COVID-19 Rapid Response
Date: 8 May 2020
Location: Munich
Abstract: We are happy to announce that our proposal ‘FastRAI’ has been selected for the EIT Health 2020 portfolio as a COVID-19 Rapid Response project!
Imageurl: EIT-Health-2.png
Type: Hot
Videourl:  
Conferencelink: https://eithealth.eu/covid-19-rapid-response/fastrai/


Edit | Attach | Refresh | Diffs | More | Revision r1.5 - 12 May 2020 - 11:49 - MagdaPaschali

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