[HT-06] Neuroimaging diagnosis based on databases and AI in the near future

[HT-06-4] Computational neuroscience for neuroimaging in psychiatry

Mitsuo Kawato (Director, ATR Brain Information Communication Research Laboratory Group, Japan)

Artificial intelligence (AI) is an emerging technology having potentials for real-world applications to many fields including medicine. The application of AI to imaging data from neurological disorders may open a new era for the diagnosis of neuro-psychiatric disorders. However, to make AI effective, we need to have an access to a high-quality imaging database. In this symposium, we will discuss the current states of large clinical database, current application of AI technology to neuroimaging data, and cutting-edge imaging analysis to increase the chance of retrieving useful information from imaging data. Through this symposium, audience will be able to imagine AI-assisted imaging diagnosis of neurological disorders in the near future.

He received the B.S. degree in physics from Tokyo University in 1976 and the M.E. and Ph.D. degrees in biophysical engineering from Osaka University in 1978 and 1981. From 1981 to 1988, he was a faculty member and lecturer at Osaka University. From 1988, he was a senior researcher and then a supervisor in ATR Auditory and Visual Perception Research Laboratories. In 1992, he became department head of Department 3, ATR Human Information Processing Research Laboratories. In 2003, he became Director of ATR Computational Neuroscience Laboratories. Since 2004, he has been an ATR Fellow. In 2010, he became Director of ATR Brain Information Communication Research Laboratory Group. From 2016 to 2018, he was jointly appointed as an Appointed Advisor, in 2018 jointly appointed as a Special Advisor, RIKEN Center for Advanced Intelligence Project (AIP). For the last fifteen years he has been working in computational neuroscience and neural network modeling.