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《工程(英文)》 >> 2020年 第6卷 第4期 doi: 10.1016/j.eng.2019.06.008

人工智能算法在精神疾病中的应用简述

a College of Computer and Information Science, Southwest University, Chongqing 400715, China
b Library of Chengdu University, Chengdu University, Chengdu 610106, China
c The Mental Health Center and Psychiatric Laboratory & the State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China
d College of Computer Science, Sichuan University, Chengdu 610065, China

收稿日期: 2019-01-21 修回日期: 2019-06-07 录用日期: 2019-06-20 发布日期: 2019-08-28

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摘要

为了研究精神疾病的病因和发病机制,各国开展了大量脑研究计划。尽管精神疾病是脑科学研究的重要部分,但精神疾病的诊断仍然依靠医生的主观经验,而非疾病的病理生理学指标。因此,为了开发有效的治疗方式和干预措施,我们迫切需要对重大精神疾病的病因和致病机制有一个清晰的认识。当前,人工智能(AI)技术在精神疾病的应用研究发展迅速,但缺少对其进行系统化的总结和展望。因此,本研究简要回顾了用于研究精神疾病的三种主要观测技术,即磁共振成像(MRI)、脑电图(EEG)和基于体势学的诊断(与模式识别相关的AI算法)。最后,我们讨论了AI应用面临的挑战、机遇和未来的发展方向。

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