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Applications of artificial intelligence and machine learning in disasters and public health emergencies

journal contribution
posted on 2021-06-17, 00:00 authored by S Lu, G A Christie, Thanh Thi NguyenThanh Thi Nguyen, J D Freeman, E B Hsu
Indexed literature (from 2015 to 2020) on artificial intelligence (AI) technologies and machine learning algorithms (ML) pertaining to disasters and public health emergencies were reviewed. Search strategies were developed and conducted for PubMed and Compendex. Articles that met inclusion criteria were filtered iteratively by title followed by abstract review and full text review. Articles were organized to identify novel approaches and breadth of potential AI applications. A total of 1217 articles were initially retrieved by the search. Upon relevant title review, 1003 articles remained. Following abstract screening, 667 articles remained. Full text review for relevance yielded 202 articles. Articles that met inclusion criteria totaled 56 articles. Those identifying specific roles of AI and ML (17 articles) were grouped by topics highlighting utility of AI and ML in disaster and public health emergency contexts. Development and use of AI and ML have increased dramatically over the past few years. This review discusses and highlights potential contextual applications and limitations of AI and ML in disaster and public health emergency scenarios.

History

Journal

Disaster Medicine and Public Health Preparedness

Pagination

1 - 8

Publisher

Cambridge University Press

Location

Cambridge, Eng.

ISSN

1935-7893

eISSN

1938-744X

Language

eng

Notes

In Press article

Publication classification

C1 Refereed article in a scholarly journal

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