AI-Driven Technology to Protect Privacy of Health Data

On May 24th, researchers from the Technical University of Munich (TUM), Imperial College London, and OpenMined, a non-profit organization published a paper titled "End-to-end privacy-preserving deep learning on multi-institutional medical imaging." The research unveiled PriMIA- Privacy-Preserving Medical Image Analysis that employs securely aggregated federated learning and an encrypted approach towards the data obtained from medical imaging. As the paper states, this technology is a free, open-source software framework. They conducted the experiment on pediatric chest X-Rays and used an advanced level deep convolutional neural network to classify them. Although there exist conventional methods to safeguard medical data, they often fail or are easily breakable.