Prospect and Challenges of Artificial Intelligence Application in African Emergency Medicine

References

1. Vearrier L, Derse AR, Basford JB, Larkin GL, Moskop JC. Artificial Intelligence in Emergency Medicine: Benefits, Risks, and Recommendations. J Emerg Med. 2022 Apr;62(4):492-499. doi: 10.1016/j.jemermed.2022.01.001. Epub 2022 Feb 11. PMID: 35164977.
2. Kannan VC, Tenner A, Sawe HR, Osiro M, Kyobe T, Nahayo E, Rasamimanana NG, Kivlehan S, Moresky R. Emergency care systems in Africa: A focus on quality. Afr J Emerg Med. 2020;10(Suppl 1):S65-S72. doi: 10.1016/j.afjem.2020.04.010. Epub 2020 Jun 17. PMID: 33318905; PMCID: PMC7723896.
3. Mould-Millman NK, Dixon J, Burkholder TW, Sefa N, Patel H, Yaffee AQ, Osisanya A, Oyewumi T, Botchey I Jr, Osei-Ampofo M, Sawe H, Lemery J, Cushing T, Wallis LA. Fifteen years of emergency medicine literature in Africa: A scoping review. Afr J Emerg Med. 2019 Mar;9(1):45-52. doi: 10.1016/j.afjem.2019.01.006. Epub 2019 Jan 18. PMID: 30873352; PMCID: PMC6400014.
4. Owoyemi A, Owoyemi J, Osiyemi A, Boyd A. Artificial Intelligence for Healthcare in Africa. Front Digit Health. 2020 Jul 7;2:6. doi: 10.3389/fdgth.2020.00006. PMID: 34713019; PMCID: PMC8521850.Mazzocato P, et al. Lean thinking in healthcare: A systematic review of reviews. PLoS One. 2018;13(8):e0202750.
5. Chenais G, Lagarde E, Gil-Jardiné C Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges J Med Internet Res 2023;25:e40031 doi: 10.2196/40031 PMID: 36972306 PMCID: 10245226