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The Generative Revolution: Generative AI in Health Geomatics

Edited by:

Maged N. Kamel Boulos, MD, PhD, University of Lisbon, Portugal
Lan Mu, PhD, University of Georgia, United States

Submission Status: Open   |   Submission Deadline: 31 October 2025
 

International Journal of Health Geographics is calling for submissions to our Collection on The Generative Revolution: Generative AI in Health Geomatics.

Artificial intelligence (AI) is revolutionizing our world, with the latest wave of generative AI methods, models and tools in particular bringing us one step closer to AGI (artificial general intelligence). Various fields of medicine and healthcare, but also health geomatics/geoinformatics and public health research, have already started exploring the potential of the latest generative AI developments in improving practice and outcomes. However, this potential is not without many challenges, limitations and risks that need to be overcome or mitigated to ensure the safe and ethical use of these technologies. For this thematic collection, we invite novel contributions in the form of original research and methodology articles from practitioners and scholars working at the intersection of generative AI, health and healthcare, and geospatial analysis. Two Int J Health Geogr editorials (doi:10.1186/s12942-025-00392-z, doi: 10.1186/s12942-025-00391-0) are already published that together set the scope and direction of this collection. Prospective authors and contributors are kindly referred to these two articles for further details about what can be expected in articles belonging to this collection.

Image credit: generated using DALL·E 3 (free unrestricted use).

Meet the Guest Editors

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Maged N. Kamel Boulos, MD, PhD, University of Lisbon, Portugal

Maged N. Kamel Boulos, MD, PhD, is Full Professor of digital health with more than 35 years of clinical and public health informatics/ geoinformatics research and teaching experience with City St George’s, University of London, and the Universities of Bath, Plymouth, and UHI (Scotland), UK, University of Lisbon (visiting), Portugal, and lately Sun Yat-sen University, China. He is currently Co-Chair (2023–2026) of ISPRS TC III Working Group 9 (WG III/9) on Geospatial Environment and Health Analytics and is the Principal Investigator of the ISPRS-funded 2023 Scientific Initiative on Geoexposomics. He previously served as Co-Chair of ISPRS WG IV/4 on Virtual Globes and Context-Aware Visualisation/ Analysis (2008-2012). ORCID: 0000-0003-2400-6303

Lan Mu, PhD, University of Georgia, United States

Lan Mu, PhD, is Full Professor at the Department of Geography at the University of Georgia, USA. She teaches courses in GIScience, directs the GIScience Certificate Program, and conducts research within the GIScience for Health and Environment Analytics Lab. She is the BOD Chair of the International Association of Chinese Professionals in GISciences (CPGIS) and previously served as the President of CPGIS (2023-2024) and Work Group Chair of ISPRS WG IV/6 on Sensor Web and Internet of Things (2015–2016). ORCID: 0000-0003-0199-9509

About the Collection

International Journal of Health Geographics is calling for submissions to our Collection on The Generative Revolution: Generative AI in Health Geomatics.

Artificial intelligence (AI) is revolutionizing our world, with the latest wave of generative AI methods, models and tools in particular bringing us one step closer to AGI (artificial general intelligence). Various fields of medicine and healthcare, but also health geomatics/geoinformatics and public health research, have already started exploring the potential of the latest generative AI developments in improving practice and outcomes. However, this potential is not without many challenges, limitations and risks that need to be overcome or mitigated to ensure the safe and ethical use of these technologies. For this thematic collection, we invite novel contributions in the form of original research and methodology articles from practitioners and scholars working at the intersection of generative AI, health and healthcare, and geospatial analysis. Two Int J Health Geogr editorials (doi: 10.1186/s12942-025-00392-z, doi: 10.1186/s12942-025-00391-0) are already published that together set the scope and direction of this collection. Prospective authors and contributors are kindly referred to these two articles for further details about what can be expected in articles belonging to this collection.

Image credit: generated using DALL·E 3 (free unrestricted use).

  1. Illicit kidney trade networks, operating globally, involve intricate interactions among various players, most notably buyers, sellers, brokers, and surgeons. A comprehensive understanding of these trade networ...

    Authors: Zifu Wang, Meng-Hao Li, Patrick Baxter, Olzhas Zhorayev, Jiaxin Wei, Valerie Kovacs, Qiuhan Zhao, Chaowei Yang and Naoru Koizumi
    Citation: International Journal of Health Geographics 2025 24:10
    Content type: Research Published on:

  2. 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-...

    Authors: Polychronis Kolokoussis, Lan Mu and Maged N. Kamel Boulos
    Citation: International Journal of Health Geographics 2025 24:7
    Content type: Editorial Published on:

  3. In an era of rapid technological advancements, generative artificial intelligence and foundation models are reshaping industries and offering new advanced solutions in a wide range of scientific areas, particu...

    Authors: Bernd Resch, Polychronis Kolokoussis, David Hanny, Maria Antonia Brovelli and Maged N. Kamel Boulos
    Citation: International Journal of Health Geographics 2025 24:6
    Content type: Editorial Published on:

Submission Guidelines

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Articles for this Collection should be submitted via our submission system, Snapp. Please, select the appropriate Collection title “The Generative Revolution: Generative AI in Health Geomatics" under the “Details” tab during the submission stage.

Articles will undergo the journal’s standard peer-review process and are subject to all the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer-review process. The peer-review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.