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

[HT-06-2] 霊長類とヒト脳の構造・機能・コネクトームの解明

林 拓也 (理化学研究所 生命機能科学研究センター)

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.

Dr. Hayashi graduated from faculty of Medicine of Kyoto University in 1986 and received PhD at Kyoto University Graduate School of Medicine in 2002 in the field of Neuroscinece and Neurology. He worked at National Cardiovascular Center in Osaka as a section chief of Research Institute and moved to RIKEN, Kobe in 2009 and now leading the Brain Connectomics Imaging Team at RIKEN Center for Biosystems Dynamics Research. His area of specialty is neuroimaging techniques and applications, and recorded publications in Nature, Nature Commun, J Clin Invest, PNAS, J Neurosci and NeuroImage. He is now focusing on research for understanding brain connectomics and cross-species comparison of human and non-human primates using MRI, supported by a grant Brain/MIND-beyond from AMED.