人工智能和迷幻药

IF 4.1 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Jerome Sarris, Andreas Halman, Anna Urokohara, Mathew Lehrner, Daniel Perkins
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引用次数: 0

摘要

人工智能(AI)和迷幻药是近年来精神医疗领域最受瞩目的颠覆性创新。虽然人工智能和迷幻药在历史上可能没有任何共同点,但这两个主题有可能结合在一起,产生创新的心理健康治疗方法。为了给我们的观点提供信息,我们通过 PubMed 对截至 2024 年 8 月底的相关文献进行了一次范围界定审查,这些文献将人工智能与迷幻药的心理医学应用相交叉。我们的观点涵盖了人工智能在迷幻医学中的潜在应用:药物发现和临床试验优化(包括药效学);研究设计;了解迷幻体验;个性化治疗;临床筛选、交付和跟踪(可能通过聊天机器人/应用程序交付);心理准备、整合和一般心理健康支持的应用;其在通过大脑调节设备(包括虚拟现实和触觉服)加强治疗方面的作用;以及对伦理和安全保障的考虑。面临的挑战包括需要足够的数据保护和安全,以及一系列必要的伦理保护。未来的探索途径可能包括直接向无机人工智能界面神经网络施用迷幻剂(或提供算法生成的效果),这些神经网络可能会超越人类的大脑活动(即认知能力)和智力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial intelligence and psychedelic medicine

Artificial intelligence (AI) and psychedelic medicines are among the most high-profile evolving disruptive innovations within mental healthcare in recent years. Although AI and psychedelics may not have historically shared any common ground, there exists the potential for these subjects to combine in generating innovative mental health treatment approaches. In order to inform our perspective, we conducted a scoping review of relevant literature up to late August 2024 via PubMed intersecting AI with psychomedical use of psychedelics. Our perspective covers the potential application of AI in psychedelic medicine for: drug discovery and clinical trial optimization (including pharmacodynamics); study design; understanding psychedelic experiences; personalization of treatments; clinical screening, delivery, and follow-up (potentially delivered via chatbots/apps); application of psychological preparation, integration, and general mental health support; its role in enhancing treatment via brain modulatory devices (including virtual reality and haptic suits); and the consideration of ethical and security safeguards. Challenges include the need for sufficient data protection and security, and a range of necessary ethical protections. Future avenues of exploration could involve directly administering psychedelics (or providing algorithm-generated effects) to inorganic AI-interfaced neural networks that may exceed human brain activity (i.e., cognitive capacity) and intelligence.

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来源期刊
Annals of the New York Academy of Sciences
Annals of the New York Academy of Sciences 综合性期刊-综合性期刊
CiteScore
11.00
自引率
1.90%
发文量
193
审稿时长
2-4 weeks
期刊介绍: Published on behalf of the New York Academy of Sciences, Annals of the New York Academy of Sciences provides multidisciplinary perspectives on research of current scientific interest with far-reaching implications for the wider scientific community and society at large. Each special issue assembles the best thinking of key contributors to a field of investigation at a time when emerging developments offer the promise of new insight. Individually themed, Annals special issues stimulate new ways to think about science by providing a neutral forum for discourse—within and across many institutions and fields.
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