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IF 3 2区医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

International Journal of Health Geographics Pub Date : 2025-04-02 DOI:10.1186/s12942-025-00392-z

Polychronis Kolokoussis, Lan Mu, Maged N Kamel Boulos

引用次数: 0

摘要

生成式人工智能正迅速成为 GeoAI 方法、模型和工具系列中的重要成员，目前正在各种健康应用中使用。本文是《国际健康地理学杂志》关于 "生成革命 "的两篇系列文章（2025 年）中的第一篇。本文旨在简要介绍题为 "生成革命 "的第二篇文章：地理空间健康中的人工智能基础模型--应用、挑战和未来研究》的第二篇文章的简介。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

The generative revolution: a brief introduction.

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'.

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来源期刊

International Journal of Health Geographics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -

CiteScore

10.20

自引率

2.00%

发文量

审稿时长

12 weeks

期刊介绍： A leader among the field, International Journal of Health Geographics is an interdisciplinary, open access journal publishing internationally significant studies of geospatial information systems and science applications in health and healthcare. With an exceptional author satisfaction rate and a quick time to first decision, the journal caters to readers across an array of healthcare disciplines globally. International Journal of Health Geographics welcomes novel studies in the health and healthcare context spanning from spatial data infrastructure and Web geospatial interoperability research, to research into real-time Geographic Information Systems (GIS)-enabled surveillance services, remote sensing applications, spatial epidemiology, spatio-temporal statistics, internet GIS and cyberspace mapping, participatory GIS and citizen sensing, geospatial big data, healthy smart cities and regions, and geospatial Internet of Things and blockchain.