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

[HT-06-1] Neuroimaging database and machine learning-based analysis for neurological disorders

Takashi Hanakawa (Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, 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.

Dr. Takashi Hanakawa is currently the director of the Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry (NCNP). He graduated from the Kyoto University Faculty of Medicine in 1991. After neurology training, he obtained a Ph.D. from the Kyoto University Graduate School of Medicine in 1999 under the supervision of Professor Hiroshi Shibasaki. Since then he conducted many basic and clinical neuroimaging studies at National Institute of Health (under the supervision of Dr Mark Hallett), Kyoto University Human Brain Research Center, and National Institute of Neuroscience, NCNP. He has received a Japan Neuroscience Society Young Investigator Award in 2008. He is a member of J-PPMI and a PI in the Parkinson's and Alzheimer's disease Neuroimaging Initiative (PADNI) in Japan.