Leveraging Federated Learning for Medical Imaging

If you follow Artificial Intelligence and Machine Learning, you've probably heard a lot about the applications of these emerging technologies in the healthcare space. This entire hype train has stemmed from the raw processing power that machine learning models are able to employ. Recently, Machine Learning models have been utilized and leveraged to generate and build statistical models from medical data. These models have had various use cases, ex. AI has been used to assist radiologists in performing diagnoses using Convolutional Neural Networks. Despite this, there has been an evident hesitation to exploit medical data to develop efficient and effective machine learning models.