Artificial intelligence boosts MRI detection of ADHD

IMAGE: Schematic diagram of the proposed multichannel deep neural network model analyzing multiscale functional brain connectome for a classification task. OAK BROOK, Ill. - Deep learning, a type of artificial intelligence, can boost the power of MRI in predicting attention deficit hyperactivity disorder (ADHD), according to a study published in Radiology: Artificial Intelligence. Researchers said the approach could also have applications for other neurological conditions. The human brain is a complex set of networks. Advances in functional MRI, a type of imaging that measures brain activity by detecting changes in blood flow, have helped with the mapping of connections within and between brain networks.