Maged N. Kamel Boulos
Maged N. Kamel Boulos, PhD is a British scientist with >28 years of clinical and informatics experience, working as Medical Doctor (Dermatologist), Researcher, then Lecturer, then Associate Professor, then Full Professor of Health Informatics (Digital Health/Systems) at City, University of London, and the Universities of Bath, Plymouth, UHI (Scotland), UK, and Sun Yat-sen University, China.
Maged is Senior Member of IEEE, and has >150 publications, with a Google Scholar h-index of 37. He was twice appointed as WHO/Europe Expert Adviser, and is the founder and Editor-in-Chief of BMC's International Journal of Health Geographics.
Maged is Senior Member of IEEE, and has >150 publications, with a Google Scholar h-index of 37. He was twice appointed as WHO/Europe Expert Adviser, and is the founder and Editor-in-Chief of BMC's International Journal of Health Geographics.
Geospatial artificial intelligence: the technology standing on the shoulders of giants
The molding together of artificial intelligence (AI) and the geographic/GIS (geographic information systems) dimension creates geospatial artificial intelligence (GeoAI). Not just the technologies powering your Uber, there is an emerging role for GeoAI in health and healthcare as location is an integral part of both population and individual health. In an editorial recently published in International Journal of Health Geographics, Maged N. Kamel Boulos and colleagues discuss population-level GeoAI applications for public health and smart cities, and integration of GeoAI into precision medicine.
The synergistic confluence of artificial intelligence (AI, especially ‘deep learning‘, a type of machine learning) and the geographic/GIS (geographic information systems) dimension creates GeoAI. The latter is the term commonly used to refer to a battery of technologies that is much more powerful than the sum of its parent components (AI + GIS).
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