BRAIN and NERVE Shinkei Kenkyu no Shinpo Volume 71, Issue 1 (January 2019)
Japanese

Artificial Intelligence in Psychiatry Akihiro Takamiya 1 , Yuki Tazawa 1 , Koki Kudo 1 , Taishiro Kishimoto 1 1Department of Neuropsychiatry, Keio University School of Medicine Keyword: 機械学習 , 診断 , MRI , 統合失調症 , 双極性障害 , うつ病 , machine learning , diagnosis , schizophrenia , bipolar disorder , depression pp.15-23
Published Date 2019/1/1
DOI https://doi.org/10.11477/mf.1416201212
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Abstract

Diagnosis of psychiatric disorders is based primarily on subjective symptoms, and neuroimaging or other biological examinations are used for excluding organic disorders. Advances in artificial intelligence technologies, such as machine learning, may enable us to utilize neuroimaging for individual diagnosis of psychiatric disorder or treatment response prediction. In addition, such technologies may elucidate the underlying pathophysiology of psychiatric disorders. In this article, we review studies that utilized machine learning on structural magnetic resonance imaging for depression.


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基本情報

18816096.71.1.jpg
BRAIN and NERVE-神経研究の進歩
71巻1号 (2019年1月)
電子版ISSN 1344-8129 印刷版ISSN 1881-6096 医学書院

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