TY - JOUR
T1 - Artificial Intelligence in Psychiatry
AU - Takamiya, Akihiro
AU - Tazawa, Yuki
AU - Kudo, Koki
AU - Kishimoto, Taishiro
PY - 2019/1/1
Y1 - 2019/1/1
N2 - 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.
AB - 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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UR - http://www.scopus.com/inward/citedby.url?scp=85059829414&partnerID=8YFLogxK
U2 - 10.11477/mf.1416201212
DO - 10.11477/mf.1416201212
M3 - Review article
C2 - 30630126
AN - SCOPUS:85059829414
SN - 1881-6096
VL - 71
SP - 15
EP - 23
JO - Brain and nerve = Shinkei kenkyu no shinpo
JF - Brain and nerve = Shinkei kenkyu no shinpo
IS - 1
ER -