[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.

[HT-06-2] Towards Primates and Human Brain Connectome using Neuroimaging

Takuya Hayashi (RIKEN Center for Biosystems Dynamics Research, 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.

[HT-06-3] Neuroimaging and Informatics in Alzheimer's disease Research

Arthur W. Toga (USC Mark and Mary Stevens Neuroimaging and Informatics Institute, USA)

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.

[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.