Artificial Intelligence Helps Identify Rare Conditions Using X-Rays

A new artificial intelligence (AI) system trained on artificial x-rays is helping researchers identify rare medical conditions in medical images. Researchers from the University of Toronto have developed a new AI system that enables machine learning to create computer generated X-rays that augment AI training sets, which could improve the speed and accuracy of medical diagnostics. "In a sense, we are using machine learning to do machine learning," Shahrokh Valaee, a professor in the Edward S. Rogers Sr. Department of Electrical & Computer Engineering (ECE) at the University of Toronto, said in a statement. "We are creating simulated X-rays that reflect certain rare conditions so that we can combine them with real X-rays to have a sufficiently large database to train the neural networks to identify these conditions in other X-rays.