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Paper by Karl Leo published

  • 09.14.2021 |

    Implantable AI system outlined in Science Advances paper.                                           

    TU Dresden scientists at the Chair of Optoelectronics have succeeded for the first time in developing a biocompatible implantable AI platform that classifies in real time healthy and pathological patterns in biological signals such as heartbeats. It detects pathological changes even without medical supervision.

    Artificial intelligence (AI) has the potential to fundamentally change medicine and healthcare: Diagnostic patient data, e.g. from ECG, EEG or X-ray images, can be analyzed with the help of machine learning, so that diseases might be detected at a very early stage based on subtle changes.

    In trials, the neural network was able to differentiate between healthy heartbeats from three common arrhythmias with an 88% accuracy rate. The potential applications for implantable AI systems are manifold: For example, they could be used to monitor cardiac arrhythmias or complications after surgery and report them to both doctors and patients via smartphone, allowing for swift medical assistance.

    “This approach will make it possible to develop further intelligent systems in the future that can help save human lives", explains Matteo Cucchi, PhD student and first author of the paper.

    Congratulations to Karl Leo!

     

    Click here to read the article.

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