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.

Duplicate Docs Excel Report

None found

Similar Docs  Excel Report  more

None found