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X-Cardiac: Artificial Intelligence-based Prediction of Complications in Intensive Care Units

Dr. med. Alexander Meyer

German Heart Center Berlin

Networking and the exchange of opinions, targeted coaching, and sound mentoring: The Digital Health Accelerator Program from the Berlin Health Innovations is a genuine 'worry-free package' for successfully translating your ideas to patient solutions!

Alexander Meyer is a computer scientist and senior resident in cardiovascular surgery. He is head of the research group “Data science in cardiovascular medicine” at the Department of Cardiothoracic and Vascular Surgery at the German Heart Center Berlin (Deutsches Herzzentrum Berlin). His main research interest is to improve patient safety with the application of state-of-the-art data science methodology in the medical domain.

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PREDICTioN 2020 - Simulation-based AI for the Prediction of Stroke

Dr. Dietmar Frey

Dept. of Neurosurgery, Charité – Universitätsmedizin Berlin

Team PREDICTioN 2020 develops a simulation program for stroke prognosis with the aim of enabling optimal treatment strategies for stroke prevention.

Each year more than 1.2 million people suffer from stroke in Europe alone. 15% of which have a re-stroke within a year. Prevention strategies and clinical treatment of stroke are based on generalized guidelines and empirical data alone. No personalized diagnostics and treatment strategies are available. Digital opportunities are not exploited sufficiently. With this AI solution Team PREDICTioN 2020 aims at saving lives of stroke patients by personalizing stroke prevention and treatment utilizing high-precision imaging and unique Machine Learning approaches.

DHA supported us greatly in meeting next steps and milestones. By setting a common goal - the demo day - the whole team focused its effort on our shared mission: predicting stroke risk with artificial intelligence to save lives! This included aligning the development of the product with the user, analyzing the market, developing a comprehensive business strategy, and pitch training. In particular, the extensive and high-quality network enabled us to get feedback from different perspectives. All in all, the DHA supported us in taking our idea to the next level.

The innovative simulation model enables predictive diagnostics in stroke treatment using digital medical imaging. Patient-specific MRI and CT images are processed with state-of-the art processing-tools and convolutional neural nets. This information is fed to the team's unique simulation that allows the estimation of cerebral perfusion changes under different conditions.

The simulation results together with routine clinical data allow predictive modelling for stroke risk and outcome using innovative machine learning techniques. The approach will lead to personalized simulation of therapy options in stroke enabling patient-centered treatment and personalized risk assessment.

Team PREDICTion 2020 consists of neurosurgeon Dr. Dietmar Frey from Charité - Universitätsmedizin Berlin and a team of software developers, machine learning experts and scientific coordinators.

Project Website

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