How Artificial Intelligence Will Improve Early Breast Cancer Detection

Using a method known as random-forest classifier, the research team demonstrated how they can improve diagnosis of cancerous lesions and only perform surgeries on high risk lesions, as opposed to always performing surgeries. “This work highlights an example of using cutting-edge machine learning technology to avoid unnecessary surgery. This is the first step toward the medical community embracing machine learning as a way to identify patterns and trends that are otherwise invisible to humans,” said Marc Kohli, director of clinical informatics in the Department of Radiology and Biomedical Imaging at the University of California in San Francisco.