Artificial intelligence (AI), such as methods in machine learning, has been increasingly used in health and healthcare. Health intelligence can be characterized as applications of AI to improve health at the population level and at the individual level.
Location can play a significant role in health. Geospatial artificial intelligence (GeoAI) combines methods in spatial information systems (GIS), AI, data mining, and high-performance computing. GeoAI represents a focused domain within health intelligence that incorporates location to derive actionable information.
The purpose of this editorial is to provide an overview of GeoAI technologies (methods and tools, and software) and current and emerging/potential applications. Smart healthy cities gather, generate and consume large amounts of big health and environmental data. GeoAI can play a key role in making sense of these data.
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