Utilising artificial intelligence in prehospital emergency care systems in low- and middle-income countries: a scoping review.
Saved in:
| Title: | Utilising artificial intelligence in prehospital emergency care systems in low- and middle-income countries: a scoping review. |
|---|---|
| Authors: | Mallon O; Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands.; Falck, Copenhagen, Denmark.; Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom., Lippert F; Falck, Copenhagen, Denmark.; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark., Stassen W; Division of Emergency Medicine, University of Cape Town, Cape Town, South Africa., Ong MEH; Department of Emergency Medicine, Singapore General Hospital, Singapore, Singapore., Dolkart C; Rescue.co, Nairobi, Kenya.; Flare Emergency Services, Nairobi, Kenya., Krafft T; Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands., Pilot E; Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands. |
| Source: | Frontiers in public health [Front Public Health] 2025 Jun 20; Vol. 13, pp. 1604231. Date of Electronic Publication: 2025 Jun 20 (Print Publication: 2025). |
| Publication Type: | Journal Article; Scoping Review |
| Journal Info: | Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2296-2565 |
|---|---|
| DOI: | 10.3389/fpubh.2025.1604231 |