Artificial Intelligence in Psychiatry

Akihiro Takamiya, Yuki Tazawa, Koki Kudo, Taishiro Kishimoto

Research output: Contribution to journalReview article

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.

Original languageEnglish
Pages (from-to)15-23
Number of pages9
JournalBrain and nerve = Shinkei kenkyu no shinpo
Volume71
Issue number1
DOIs
Publication statusPublished - 2019 Jan 1

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Artificial Intelligence
Mental Disorders
Neuroimaging
Psychiatry
Technology
Magnetic Resonance Imaging
Depression
Machine Learning

ASJC Scopus subject areas

  • Clinical Neurology

Cite this

Artificial Intelligence in Psychiatry. / Takamiya, Akihiro; Tazawa, Yuki; Kudo, Koki; Kishimoto, Taishiro.

In: Brain and nerve = Shinkei kenkyu no shinpo, Vol. 71, No. 1, 01.01.2019, p. 15-23.

Research output: Contribution to journalReview article

Takamiya, Akihiro ; Tazawa, Yuki ; Kudo, Koki ; Kishimoto, Taishiro. / Artificial Intelligence in Psychiatry. In: Brain and nerve = Shinkei kenkyu no shinpo. 2019 ; Vol. 71, No. 1. pp. 15-23.
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