This paper is in the following e-collection/theme issue:

Information Demand (37) Infodemiology and Infoveillance (1433) Prevention and Health Promotion (1091) Artificial Intelligence (1624)

Published on in Vol 3 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39895, first published .
Open-Source Intelligence for Detection of Radiological Events and Syndromes Following the Invasion of Ukraine in 2022: Observational Study

Open-Source Intelligence for Detection of Radiological Events and Syndromes Following the Invasion of Ukraine in 2022: Observational Study

Open-Source Intelligence for Detection of Radiological Events and Syndromes Following the Invasion of Ukraine in 2022: Observational Study

Authors of this article:

Haley Stone1 Author Orcid Image ;   David Heslop2 Author Orcid Image ;   Samsung Lim3 Author Orcid Image ;   Ines Sarmiento1 Author Orcid Image ;   Mohana Kunasekaran1 Author Orcid Image ;   C Raina MacIntyre1, 4 Author Orcid Image
Article Authors Cited by (2) Tweetations (27) Metrics

Journals

  1. Honeyman D, Gurdasani D, Notaras A, Akhtar Z, Edgeworth J, Moa A, Chughtai A, Quigley A, Lim S, MacIntyre C. Global Epidemiology of Outbreaks of Unknown Cause Identified by Open-Source Intelligence, 2020–2022. Emerging Infectious Diseases 2025;31(2) View
  2. Lansiaux E. Les biais de l’IA : enjeux et précautions pour une prise de décision éthique et fiable en santé. Médecine de Catastrophe - Urgences Collectives 2025 View