Schnell Knut, Stein Miriam
AG Translationale Psychotherapieforschung, Klinik für Psychiatrie und Psychotherapie, Universitätsmedizin Göttingen, Asklepios Fachklinikum.
Psychiatr Prax. 2021 Mar;48(S 01):S5-S10. doi: 10.1055/a-1364-5565. Epub 2021 Mar 2.
The aim of the article is to enable a fundamental understanding of the potentials and requirements of Artificial Intelligence (AI) for psychiatrists in the present and for the development of future working environments. Psychiatrists will need to understand the function of AI-systems and personalized AI-assistants in therapy systems and as part of their patients' daily life.
The article provides an overview of basic categories and fields of application of AI and machine learning in the diagnosis, prevention and therapy of mental disorders.
AI-applications will shape the prevention, diagnosis and treatment as well as the basic etiological understanding of mental disorders. Notably, the treatment of mental disorders is significantly influenced by commercial product development and assistance systems outside the medical system, as the corresponding developments can exploit large data pools with significantly lower restrictions.
Psychiatrists should now seize the opportunity to actively shape the implementation of AI-systems as otherwise key competences could be transferred to a primary field outside the medical system to the detriment of the patient and the therapist.
本文旨在使精神科医生从根本上了解人工智能（AI）在当前的潜力和需求，以及对未来工作环境发展的影响。精神科医生需要了解人工智能系统和个性化人工智能助手在治疗系统中的功能，以及在患者日常生活中的作用。
本文概述了人工智能和机器学习在精神障碍诊断、预防和治疗中的基本类别及应用领域。
人工智能应用将塑造精神障碍的预防、诊断和治疗方式，以及对其基本病因的理解。值得注意的是，精神障碍的治疗受到医疗系统之外的商业产品开发和辅助系统的显著影响，因为相应的发展可以利用限制少得多的大数据池。
精神科医生现在应抓住机会，积极塑造人工智能系统的实施方式，否则关键能力可能会转移到医疗系统之外的主要领域，对患者和治疗师不利。
