MINI REVIEW article
Front. Artif. Intell.
Sec. Medicine and Public Health
Volume 8 - 2025 | doi: 10.3389/frai.2025.1627773
AI in Humanitarian Healthcare: A Game Changer for Crisis Response
Provisionally accepted
- 1Centre Médical Laser Palaiseau, Palaiseau, France
- 2Department of Dermatology, Yale University School of Medicine, New Haven, CT, USA, New Haven, United States
- 3Centre Médical Saint Jean, private practice, Arras, France
- 4Ailesbury Clinics Ltd, Dublin, Ireland
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Artificial Intelligence (AI) is transforming humanitarian healthcare by providing innovative solutions to critical challenges in crisis response. This review explores peerreviewed literature and case reports from 2001 to 2025, retrieved from PubMed, Scopus, and Google Scholar, using targeted keywords. Results indicate that AI enhances disaster prediction, disease surveillance, resource allocation, and mental health support through tools such as machine learning, natural language processing, robotics, and blockchain. Prominent applications include AI-powered early warning systems, chatbots for displaced populations, telemedicine platforms, and automated supply chain logistics. Ethical concerns such as data privacy, bias, and access inequities remain critical to responsible deployment. By uniting governments, NGOs, and technology providers, AI serves as a powerful tool to strengthen humanitarian healthcare systems, enhancing resilience and efficiency while ensuring better outcomes for vulnerable populations during crises.
Keywords: artificial intelligence, Humanitarian Healthcare, crisis response, Disaster Management, ethical considerations
Received: 13 May 2025; Accepted: 18 Jun 2025.
Copyright: © 2025 HAYKAL, Goldust, Cartier and Treacy. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: DIALA HAYKAL, Centre Médical Laser Palaiseau, Palaiseau, France
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.