生成性革命：简要介绍。
The generative revolution: a brief introduction.
作者信息
Kolokoussis Polychronis, Mu Lan, Kamel Boulos Maged N
机构信息
School of Rural, Surveying & Geoinformatics Engineering, National Technical University of Athens, Athens, 15780, Greece.
Department of Geography, University of Georgia, Athens, GA, 30602, USA.
出版信息
Int J Health Geogr. 2025 Apr 2;24(1):7. doi: 10.1186/s12942-025-00392-z.
Abstract
Generative AI is rapidly establishing itself as a key member of the GeoAI battery of methods, models and tools in use today in various health applications. This paper is the first in an Int J Health Geogr two-article series (2025) on the 'Generative Revolution'. It is meant to serve as a brief introduction to the second article entitled 'The Generative Revolution: AI Foundation Models in Geospatial Health-Applications, Challenges and Future Research'.
摘要
生成式人工智能正在迅速成为当今各种健康应用中使用的地理人工智能方法、模型和工具组合的关键成员。本文是《国际健康地理学杂志》（Int J Health Geogr）关于“生成式革命”的两篇文章系列（2025年）中的第一篇。它旨在作为对第二篇文章《生成式革命：地理空间健康应用中的人工智能基础模型、挑战与未来研究》的简要介绍。
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IEEE J Biomed Health Inform. 2025 Jun;29(6):4001-4008. doi: 10.1109/JBHI.2023.3327485.
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