UNIVERSITY DEPARTMENT OF NEUROLOGY

MedDigit qualifiziert sich für Healthcare Hackathon 2021 in Berlin

03.07.2020 -  

The Healthcare Hackathon is a format that over the last 5 years has created a platform where many partners apply to develop, together with other interested participants, new tools and processes that find sustainable translations by many interested parties and within university hospitals.

For the first time, the University Hospital Magdeburg participated in the Healthcare Hackathon, which took place in Mainz this year on June 21-22. Participants from 23 university hospitals tried to develop digital solutions for problems in the fields of nursing, artificial intelligence, quantum computing, botsystems or emergency medicine together with other interested participants. The goal of the researchers and IT staff of the Magdeburg University Hospital was to use artificial intelligence to evaluate the quality of magnetic resonance imaging (MRI) and to automatically recognize image artifacts (#MRIQA Challenge).

The team consisting of employees of the Department of Neurology (MedDigit), the German Centre for Neurodegenerative Diseases (DZNE) and the IT and Medical Technology Division was supported by other participants during the event. The results of the challenge can be found on the developer platform GitHub.

Together they won an implementation workshop with Siemens Healthcare, IBM Germany and Amazon Web Services DACH and were invited to the Healthcare Hackathon 2021 in Berlin.

Automated quality control

The idea behind the project has a strong practical relevance. MRI images of inferior quality or with strong artefacts are becoming increasingly insufficient for clinical care or to conduct medical studies. Until now, the assessment of image quality in clinical routine has been carried out by medical assistants or radiologists.

Hackathon_MRT

Automatic image quality detection (Image source: IXI Data set: https://brain-development.org/ixi-dataset/)

In order to relieve the radiology staff, the applied artificial intelligence algorithm issues a traffic light recommendation for the image quality (good/moderate/bad) of the MRI image. Through this process, recurring errors in processes and procedures can be identified. This saves money and above all time, because, for example, images do not have to be repeated and processes and procedures can be optimized.    

Strong future prospectives

Not only the departments of the University Hospital Magdeburg will benefit from the project, but also the smaller hospitals and radiological practices in Saxony-Anhalt. In the planned real operational phase of the project, MRI results and evaluations will be made available to the attending physicians of the patient via a digital interface in the electronic patient file. For the patient the biggest advantage will be an optimal image quality adapted to each specific clinical problem, as well as the reduction of possible repeat appointments.

This project is led by the working group "MedDigit - Medicine and Digitalisation", which was established by the Department of Neurology in cooperation with the Leibniz Institute of Neurobiology (LIN) and the Magdeburg DZNE location and which is supported and funded by the state of Saxony-Anhalt within the framework of the state's digitization initiative.

 

 

Last Modification: 08.09.2022 - Contact Person:

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