Takamiya Akihiro, Tazawa Yuki, Kudo Koki, Kishimoto Taishiro
Department of Neuropsychiatry, Keio University School of Medicine.
Brain Nerve. 2019 Jan;71(1):15-23. doi: 10.11477/mf.1416201212.
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.
精神疾病的诊断主要基于主观症状，神经影像学或其他生物学检查用于排除器质性疾病。机器学习等人工智能技术的进步，可能使我们能够利用神经影像学进行精神疾病的个体诊断或治疗反应预测。此外，此类技术可能阐明精神疾病的潜在病理生理学。在本文中，我们回顾了利用机器学习对抑郁症进行结构磁共振成像研究的相关研究。
