A team of researchers with members from institutions in the U.S., Sweden and Taiwan has developed an artificial intelligence system for predicting breast cancer years before tumors appear. In their paper published in the journal Science Translational Medicine, the group describes how they developed and trained their system and how well it worked when tested.
Artificial intelligence applications have made inroads to medical diagnostics in recent years—they can be trained to look for cancer or other conditions by training them on thousands of examples. Once trained, many have demonstrated good performance in real-world applications. In this new effort, the researchers have taken the science further by building an AI application to detect conditions in tissue that may lead to cancer in the future.
For many years, medical scientists have been looking for ways to determine breast cancer risk. Some DNA studies have led to the discovery of variants that increase the risk of developing the disease. Other studies have used a variety of factors along with analytics to predict risk, but thus far, they have not proven to