Accessibility settings

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/90848, first published .
Cybersecurity analyst at work, coding on dual monitors displaying code and world map data.

AI in Disaster Medicine: Scoping Review of Methods, Validation, and System Integration

AI in Disaster Medicine: Scoping Review of Methods, Validation, and System Integration

Ruben Peralta   1, 2 * , MD, MAMSE ;   Ali Msheik   3 * , MD, MSc, PhDc ;   Zeinab Al Mokdad   4 , MS.c ;   Yavuz Yigit   5, 6 , MD ;   Hassan Al-Thani   1 , MD ;   Ghaya Al Rumaihi   3, 7 , MD ;   Ghanem Al-Sulaiti   3 , MD ;   Peter Cameron   5 , MD

1 Trauma Surgery, Hamad Medical Corporation, Doha, Baladīyat ad Dawḩah, Qatar

2 Department of Surgery, Universidad Nacional Pedro Henriquez Urena, Santo Domingo, Dominican Republic

3 Neurological Surgery, Neuroscience Insitute, Hamad Medical Corporation, Doha, Baladīyat ad Dawḩah, Qatar

4 Department is Bioethics and Medical Ethics, Faculty of Medical Sciences, Lebanese University, Beirut, Beyrouth, Lebanon

5 Corporate Department of Emergency Medicine, Hamad Medical Corporation, Doha, Baladīyat ad Dawḩah, Qatar

6 Emergency Medicine, Centre for Neuroscience and Trauma, Blizard Institute, Queen Mary University of London, London, United Kingdom

7 College of Medicine, Qatar University, Doha, Baladīyat ad Dawḩah, Qatar

*these authors contributed equally

Corresponding Author:

  • Ali Msheik, MD, MSc, PhDc
  • Neurological Surgery
  • Neuroscience Insitute, Hamad Medical Corporation
  • P.O. Box: 3050
  • Doha, Baladīyat ad Dawḩah
  • Qatar
  • Phone: 974 72157731
  • Email: amsheik@hamad.qa