机器智能、数字艺术和诊断的共存:有可能吗?

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机器智能的发展和在其帮助下创建的生成图像的使用是通信设计和人机交互的一个有前途的方向。致编辑的信提出了作者对生成图像(图1)应用于人类状况诊断的设想。

使用机器智能作为交互式和智能诊断工具将允许心理学家和医生有效地补充其参与者受控交互的治疗过程。

现在已经有了带有文本生成图像算法的模型库和应用程序集,可供工程师和设计师在创建当代数字艺术对象的过程中使用,也可以用于研究使用视觉的新范式通信,其在实验诊断中的应用。

作者简介

Andrey V. Vlasov

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies; Izmerov Research Institute of Occupational Health

编辑信件的主要联系方式.
Email: a.vlasov@npcmr.ru
ORCID iD: 0000-0001-9227-1892
SPIN 代码: 3378-8650
俄罗斯联邦, Moscow; Moscow

参考

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补充文件

附件文件
动作
1. JATS XML
2. 图1

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3. 图2。使用神经网络创建的图像(a,b)。

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