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Review
. 2025 Jul 2:8:1627773.
doi: 10.3389/frai.2025.1627773. eCollection 2025.

AI in humanitarian healthcare: a game changer for crisis response

Affiliations
Review

AI in humanitarian healthcare: a game changer for crisis response

Diala Haykal et al. Front Artif Intell. .

Abstract

Artificial Intelligence (AI) is transforming humanitarian healthcare by providing innovative solutions to critical challenges in crisis response. This review explores peer-reviewed 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; crisis response; disaster management; ethical considerations; humanitarian healthcare.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Figure 1
Figure 1
AI-powered humanitarian healthcare in crisis zones.

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References

    1. Abdul S., Adeghe E. P., Adegoke B. O., Adegoke A. A., Udedeh E. H. (2024). Ai-enhanced healthcare management during natural disasters: conceptual insights. Eng. Sci. Technol. J. 5, 1794–1816. doi: 10.51594/estj.v5i5.1155 - DOI
    1. Abdulhaq B., Hammouri M., Abu Hawas D., Dardas L. A. (2024). Exploring vaccination challenges among Syrian refugees in Jordan: insights from Camps and communities, and perceived parental barriers to childhood vaccination uptake. Vaccine 12:133. doi: 10.3390/vaccines12020133, PMID: - DOI - PMC - PubMed
    1. Abernethy A., Adams L., Barrett M., Bechtel C., Brennan P., Butte A., et al. (2022). The promise of digital health: then, now, and the future. NAM Perspect. 2022:10.31478/202206e. doi: 10.31478/202206e, PMID: - DOI - PMC - PubMed
    1. Abraha D. T. (2025). Blockchain-based solution for addressing refugee management in the global south: transparent and accessible resource sharing in humanitarian organizations. Front. Hum. Dyn. 6:1163. doi: 10.3389/fhumd.2024.1391163 - DOI
    1. Afolabi A. I., Hussain N. Y., Austin-Gabriel B., Ige A. B., Adepoju P. A. (2023). Geospatial AI and data analytics for satellite-based disaster prediction and risk assessment. Open Access Res. J. Eng. Technol. 4, 058–066. doi: 10.53022/oarjet.2023.4.2.0058 - DOI

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