WORKING TOGETHER TO CREATE SOLUTIONS OF THE FUTURE
Our project integrates the know-how of extremely competent partners in an ideal way, especially because new, very disruptive solutions emerge from the combination of these different focal points and we thus achieve an enormous impact in health care for the good of the people. The know-how of the project partners spans a complete spectrum from the necessary core technology to the relevant application scenarios.
The European Health File (EHF) and also the Electronic Patient Record (EPR) are the Data foundation of our project. Service providers enrich this pool, patients, specialists and Doctor Al should have controlled access to it. IBM pushes the development of EGA and EPA currently in charge and in accordance with the requirements of the legislator. For the proposed project and, in particular, a forward-looking health care system, is to be developed. effective and comprehensive data exchange. The necessary interfaces and Mechanisms are to be designed and developed within the framework of the project for Doctor AI accordingly. will be. In addition to the data, the EGA also provides for the integration of services.
Relevant questions on the organization of the medical supply chain, ethical Questions and legal certainty in connection with EGA and EPA are discussed in this module in the connection with the Trusted Execution Environment (TEE) is also taken into account.
The Fraunhofer IGD is engaged in research and applications in the field of Visual Computing. The central task is the development of new applications with pilot character as well as the realisation of prototypes (in software, firmware and hardware) as product precursors for the manufacturing and applying industry. The Fraunhofer IGD was able to improve the develop basic methods for activity and sleep detection in healthy people. The experience gained through the projects DiaTrace and HIS (state project MV, 2012-2014) is of great value arosed. In the preliminary projects „MepaTerm/MEDAM“ (state project MV, 2014-2015), „Digital Health Companion“ (BMWI 03EFFMV017, 2015-2017), TakeCare RoRo (BMWI 16KN049136, 2019- 2021) as well as in medical projects, e.g. VISING for the support of obese adolescents (diabetes foundation), or in numerous industrial projects, new technologies have been developed for the sensor-based health assistance. These will be incorporated into the present project. The work planned in this project on the recognition and interpretation of biometric parameters and vital data, can be based on experience and project results of these predecessor projects. Due to the network activities of the Fraunhofer IGD in the BMWi-ZIM Network TakeCare are contacts and preliminary work in the field of Smart Medical Devices which will also be incorporated into the project.
The project partner RWTH Aachen University Hospital will be working with the automated analysis of the entire image data of patients with acute stroke. The prognosis of these patients depends decisively on whether the suitable therapy is chosen in order to reopen the closed cerebral vessels of the patients. Using the multimodal data, the AI will not only make an exact diagnosis, but will also determine the suggest the best possible therapy for each patient.
The Project Group Computational Intelligence Technology Lab
(CITlab – https://www.citlab.uni-rostock.de) of the University of Rostock under the direction of Prof. Dr. Roger Labahn. This project group is internationally renowned in the field of technologies of the machine learning from basic research through to clearly application-oriented implementations and applications, and has been successful both in third-party funding and Application projects at all levels up to current participation in two Horizon2020 projects at EU level. The central projects of the CITlab Group are handwriting recognition, text recognition and Neural technologies for textual content analysis. The project group CITlab belongs to the Institute for Mathematics of the University of Rostock in the field of „Mathematical Optimization“ under the direction of Prof. Dr. Konrad Engel. Under his direction, doctorates are awarded in the „Welisa“ graduate college from the field of image recognition and reconstruction. In addition extensive experience in applied optimization and pattern recognition. In the ITlab / Optimiser-Group will be responsible for the qualification positions of the junior research group leader and of the math doctoral student. A special emphasis results from the broad interdisciplinary project approach. The requirements of the individual work packages to the common Cross section technology of machine learning must be coordinated with minimal friction and with maximum synergies.