COVID-19 PANDEMİSİNDE YAPAY ZEKANIN KULLANIMI

Year 2020, , 178 - 183, 28.09.2020

Feyza Nehir Öznur Muz , Ali Kılınç , Muhammed Fatih Önsüz

https://doi.org/10.35232/estudamhsd.798676

Cited By: 1

Abstract

2019 yılının başından itibaren tüm dünyayı sarsan COVID-19 salgınının hızla yayılarak pandemiye dönüşmesinin ardından alınacak önlemler ve yapılacak çalışmaların ne denli önemli olduğu görüldü. Günümüz teknolojisi olan yapay zekadan sağlık ile ilgili konularda başta pandemi olmak üzere nasıl yararlanılabileceği tartışıldı. Yapay zekanın bu çalışmalarda bazı kısıtlamaları olmasına rağmen sağlayacağı yararların; sosyal ve ekonomik zararları minimumda tutan, öngörüsü yüksek, temel sağlık hizmetlerini destekleyici politikalar yürütülmesine de olanak sağlayacağı vurgulandı.

Keywords

Salgın, yapay zeka, pandemi, koronavirüs

USE OF ARTIFICIAL INTELLIGENCE IN THE COVID-19 PANDEMIC

Abstract

Since the beginning of 2019, COVID-19 outbreak, which has surrounded the whole world, rapidly spread and turned into a pandemic, showed how important the precautions and studies were. It was discussed how artificial intelligence, which is today’s new technology, can be used in the health; especially in the pandemic. Although some restrictions in these studies, the benefits of artificial intelligence; emphasized that also support policies about primary health care with a high foresight, keeping social and economic damages minimum.

Keywords

Outbreak, pandemic, coronavirus, artificial intelligence

References

• 1. World Health Organization, Coronaviruse Reports [cited 2020 September 02]. Available from: https://www.who.int/docs/default-source/coronaviruse/situation-reports
• 2. Our World In Data, Coronavirus pandemic: daily updated research and data. [cited 2020 September 02]. Available from: https://ourworldindata.org/grapher/deaths-covid-19-vs-case-fatality-rate?tab=table&year=latest
• 3. Mahase E. Coronavirus: covid-19 has killed more people than SARS and MERS combined, despite lower case fatality rate. British Medical Journal Publishing Group; 2020.
• 4. Dikmen AU, Kina MH, Özkan S, İlhan MN. COVID-19 epidemiyolojisi: Pandemiden ne öğrendik. Journal of biotechnology and strategic health research 2020;4:29–36.
• 5. Lalmuanawma S, Hussain J, Chhakchhuak L. Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: A review. Chaos Solitons Fractals 2020;139:110059.
• 6. Naudé, W. Artificial Intelligence against COVID-19: An early review; IZA Discussion Paper No. 13110; Available from: https://ssrn.com/abstract=3568314
• 7. Büyükgöze S, Dereli E. Dijital Sağlık Uygulamalarında Yapay Zeka. VI Uluslararası Bilimsel ve Mesleki Çalışmalar Kongresi-Fen ve Sağlık. 2019:07-10.
• 8. International Business Machines Watson Health 2020 [cited 2020 September 02]. Available from: https://www.ibm.com/tr-tr/watson-health/learn/artificial-intelligence-healthcare
• 9. Karaçalı B. Sağlık Uygulamaları ve Eğitiminde Yapay Zeka. Uluslararası Sağlıkta Yapay zeka kongresi 2020. [cited 2020 September 02]. Available from: https://www.sagliktayapayzeka2020.org/
• 10. Shiraishi J, Li Q, Appelbaum D, Doi K. Computer-aided diagnosis and artificial intelligence in clinical imaging. Semin. Nucl. Med. 2011;41:449–62.11
• 11 Ai T, Yang Z, Hou H, Zhan C, et al. Correlation of chest CT and RT-PCR testing in coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases. Radiology 2020;200642.
• 12. Luo H, Tang Q-L, Shang Y-X, Liang S-B, Yang M, Robinson N, et al. Can Chinese medicine be used for prevention of corona virus disease 2019 (COVID-19)? A review of historical classics, research evidence and current prevention programs. Chin. J. Integr. Med. 2020;26:243–50.
• 13. Mei X, Lee HC, Diao KY, Huang M, Lin B, Liu C, et al. Artificial intelligence–enabled rapid diagnosis of patients with COVID-19. Nature Medicine 2020;1–5.
• 14. Haleem A, Vaishya R, Javaid M, Khan IH. Artificial Intelligence (AI) applications in orthopaedics: An innovative technology to embrace. J. Clin. Orthop. Trauma 2020;11:80–1.
• 15. Biswas K, Sen P. Space-time dependence of corona virus (COVID-19) outbreak [Internet]. arXiv [physics.soc-ph]2020;Available from: http://arxiv.org/abs/2003.03149.
• 16. Stebbing J, Phelan A, Griffin I, Tucker C, Oechsle O, Smith D, et al. COVID-19: combining antiviral and anti-inflammatory treatments. Lancet Infect. Dis. 2020;20:400–2.
• 17. Johns Hopkins University and Medicine, Coronavirus Resource Center [cited 2020 September 02]. Available from: https://coronavirus.jhu.edu/map.html
• 18. AI-based flu vaccine developed by Flinders University heads for U.S. trials. Com.au2019 [cited 2020 Sep 2];Available from: https://www.healthcareit.com.au/article/ai-based-flu-vaccine-developed-flinders-university-heads-us-trials