A research group led by scientists from the RIKEN Center for Advanced Intelligence Project (AIP), collaborating with Fujitsu Ltd. and Showa University, decided to take on the challenge. They have successfully developed a new machine learning technology that can accurately predict disease using relatively small and incomplete collections of data. Typically, fetal heart experts determine if parts of the heart, such as valves or blood vessels, are in the correct positions by comparing normal and abnormal fetal heart images and relying on their professional experience. The RIKEN researchers found a computer process that was similar to how humans worked called "object detection." This allowed the AI to both distinguish position and classify multiple objects appearing in fetal heart images.