Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
AI in humanitarian healthcare: a game changer for crisis response
4
Zitationen
4
Autoren
2025
Jahr
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.
Ähnliche Arbeiten
Normal Accidents: Living with High Risk Technologies
1985 · 5.008 Zit.
Community Resilience as a Metaphor, Theory, Set of Capacities, and Strategy for Disaster Readiness
2007 · 4.993 Zit.
The shock doctrine: the rise of disaster capitalism
2008 · 4.034 Zit.
Fair Allocation of Scarce Medical Resources in the Time of Covid-19
2020 · 3.232 Zit.
60,000 Disaster Victims Speak: Part I. An Empirical Review of the Empirical Literature, 1981–2001
2002 · 3.074 Zit.