From Crisis to Care... AI Revolutionising Humanitarian Healthcare

Authors

  • Udaiveer Singh Brar Master Student, Department of Computer Engineering and Technology, India
  • Kiranbir Kaur Assisstant Professor, Department of Computer Engineering and Technology, India
  • Prabhpreet Kaur Associate Professor, Department of Computer Engineering and Technology, India
  • Amandeep Kaur Assisstant Professor, Department of Computer Engineering and Technology, India

Abstract

Background: Humanitarian healthcare and disaster response greatly rely on quick, informed and coordinated actions to save lives and resources.Artificial intelligence (AI) is coming out as a powerful tool that has the capability to support crisis management through predictive analytics, decision support, and efficient allocation of medical resources.
Objectives: To explore the transformation of artificial intelligence in disaster response, emergency care and equitable healthcare systems.
Methods: The literature was reviewed for recent developments in the domain of AI applications for disaster preparedness and emergency healthcare, identifying persistent challenges such as limited datasets, ethical dilemmas and integration issues.
Results: This study highlighted that AI usage in humanitarian healthcare improves disaster response efficiency and enhances predictive accuracy. However, real-time system integration highlights the need for more transparent and collaborative AI frameworks.
Conclusion: AI has immense potential for transforming humanitarian healthcare with faster, data-driven, and equitable crisis response. Focus on ethical governance is required to realise its impact in real-life disaster scenarios.

References

D. Haykal, M. Goldust, H. Cartier, and P. Treacy, “AI in humanitarian healthcare: A game changer for crisis response,” Frontiers in Artificial Intelligence, vol.

, Art. no. 1627773, 2025. https://doi.org/10.3389/ frai.2025.1627773

L. F. Bari, I. Ahmed, R. Ahamed, and L. Faiah, “Potential use of artificial intelligence (AI) in disaster risk and emergency health management: A critical appraisal on environmental health,” SAGE Open Medicine, vol. 11, 2023. https://doi.org/10.1177/11786302231217808

M. Kumar, “Leveraging AI in disaster manage ment: Enhancing response and recovery for natural and man-made disasters,” International Journal for Multidisciplinary Research, vol. 6, no. 2, pp. 42–59, 2024. https://doi.org/10.36948/ijfmr.2024.v06i02.26729

Published

2026-01-22

Issue

Vol. 2 No. 1 (2026): Special Issue

Section

Review Article