Research Article
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Year 2022, Volume: 6 Issue: 3, 913 - 920, 29.09.2022
https://doi.org/10.30621/jbachs.984596

Abstract

References

  • References 1. Aslan, R. Tarihten Günümüze Epidemiler, Pandemiler ve Covid-19. Ayrıntı Dergisi, 2020; 8:35-41.
  • 2. Merriam-Webster. (2020). Outbreak vs. Epidemic: Spreading Illness. https://www.merriam-webster.com/words-at-play/spanish-flu.
  • 3. Budak, F. ve Korkmaz, Ş. COVID-19 Pandemi Sürecine Yönelik Genel Bir Değerlendirme: Türkiye Örneği. Sosyal Araştırmalar ve Yönetim Dergisi 2020; 1:62-79.
  • 4. Boyd, K. M. Disease, illness, sickness, health, healing and wholeness: exploring some elusive concepts. Medical Humanities 2000; 26(1):9-17.
  • 5. Jones KE, Patel NG, Levy MA, Storeygard A, Balk D, Gittleman JL, et al. Global trends in emerging infectious diseases. Nature. 2008; 451(7181): 990–3.
  • 6. Schwetz, T.A. ve Fauci, A.S.The Extended Impact of Human Immunodeficiency Virus/AIDS Research. The Journal of Infectious Diseases 2019; 219(1): 6-9.
  • 7. Ahu Pakdemirli, Dilek Orbatu, Banu Başok, Ümit Belet, Aslı Çelebi, Bumin Nuri Dündar, Mustafa Emiroğlu, Defne Engür, Mihriban Erdoğan, Mehmet Yekta Öncel, Süleyman Sevinç, Tufan Süelözgen, Mehmet Burak Öztop. Sağlıkta Yapay Zeka: Ne Kadar İlgiliyiz? Uluslararası Sağlıkta Yapay Zeka Kongresi 16-18 Ocak 2020, İzmir Tepecik Eğitim ve Araştırma Hastanesi Dergisi. 2020; 30:(Ek 1):8-13.
  • 8. Reddy S, Fox J, Purohit MP. Artificial intelligence-enabled health care delivery. J R Soc Med. 2019; 112(1): 22-8.
  • 9. Wiens J, Shenoy ES. Machine Learning for Healthcare: On the verge of a major shift in healthcare epidemiology. Clin. Infect Dis. Off Publ. Infect Dis. Soc. Am. 2018; 66(1): 149–53.
  • 10. Defne Engür, Banu İşbilen Başok, Mehmet Yekta Öncel, Ümit Belet, Aslı Çelebi, Bumin Nuri Dündar, Mihriban Erdoğan, Dilek Orbatu, Ahu Pakdemirli, Süleyman Sevinç, Tufan Süelözgen, Mehmet Burak Öztop, Mustafa Emiroğlu. Uluslararası Sağlıkta Yapay Zeka Kongresi 2020 Kongre Raporu-Derleme. Tepecik Eğitim ve Araştırma Hastanesi Dergisi. 2020;30:(Ek 1):1-7
  • 11. Çocuk Hastalarda COVİD 19 Yönetimi 2021 ISBN:978-625-7849-14-2 Shf.47 -53.
  • 12. World Health Organization, (2019), “Ten threats to global health in 2019”, https://www.who.int/emergencies/ten-threats-to-global-health-in-2019.
  • 13. Marr, Bernard; (2016), “How Machine Learning, Big Data And AI Are Changing Healthcare Forever,Forbes,(23Eylül2016),https://www.forbes.com/sites/bernardmarr/2016/09/23/how-machine-learning-big-data-and-ai-are-changing-healthcare-forever/#5d27f5b51a1c.
  • 14. Çocuk Hastalarda COVID-19 Yönetimi 2021. ISBN:978-625-7849-14-2. Shf:239.
  • 15. Pueyo T. (2020a). Coronavirus: Learning How to Dance. Medium. (https://medium.com/@tomaspueyo/coronavirus-learning-how-to-dance-b8420170203e.
  • 16. T.C. Sağlık Bakanlığı. (2020b). COVID-19 (SARS-CoV-2 Enfeksiyonu) Rehberi. https://covid19bilgi.saglik.gov.tr/depo/rehberler/COVID-19_Rehberi.pdf.
  • 17. Wiens J, Shenoy ES. Machine Learning for Healthcare: On the verge of a major shift in healthcare epidemiology. Clin Infect Dis 2018; 66(1): 149-153.
  • 18. Koo JR, Cook AR, Park M, Sun Y, Sun H, Lim JT, et al. Interventions to mitigate early spread of SARS-CoV-2 in Singapore: a modelling study. Lancet Infect. Dis. 2020; 20(6): 678-688.
  • 19. Qin, L.; Sun, Q.; Wang, Y.; Wu, K.F.; Chen, M.; Shia, B.C.; Wu, S.Y. Prediction of Number of Cases of 2019 Novel Coronavirus (COVID-19) Using Social Media Search Index. Int. J. Environ. Res. Public Health 2020; 17: 2365.
  • 20. Deloitte, (2019), “2019 Global health care outlook Shaping the future”, https://www2.deIoitte.com/content/dam/ Deloitte/global/Documents/Life-Sciences-Health-Care/ gx-Ishc-hc-outlook-2019.

The COVID-19 Pandemic and Artificial Intelligence (AI) Applications in Health: How Much Are We Interested in?

Year 2022, Volume: 6 Issue: 3, 913 - 920, 29.09.2022
https://doi.org/10.30621/jbachs.984596

Abstract

Objective New viruses have emerged, causing global damage and mass deaths that can spread to international borders, the latest of which is the new coronavirus (COVID-19). After the Second International Congress on Artificial Intelligence in Health, themed "Artificial Intelligence in Health During COVID-19 Pandemic Process" organized online by İzmir Bakırçay University and İzmir Provincial Health Directorate with the contributions of the International Association of Artificial Intelligence in Health, a questionnaire was conducted to evaluate the knowledge of the participants about artificial intelligence applications.
Materials and Methods: This study aimed to evaluate the interest of the congress participants in this field with the questions which form the questionnaire such as the duration of the interest of the participants in the field of artificial intelligence in health, their publication status, the development of studies on artificial intelligence with the COVID-19 pandemic, demographic structures such as age and gender, and educational level. 130 participants answered the questionnaire consisting of 23 questions. Questionnaire responses were analyzed in a statistical setting.
Results: We found that 130 people filled out the questionnaire and the majority of the participants were female, with participation from many organizations, but university staff showed more interest. We have seen that the 30-39 age group is more interested in artificial intelligence than the other age groups, but the majority of the participants do not have academic studies in this field. We found that the technical terms related to artificial intelligence were not well known by the participants, and that the number of participants who tended to this field, especially in the recent year, was high. Another important point was that people working in this field stated that they would definitely follow up if scientific activities continued.
Conclusion: We know how important congresses, symposiums, courses and other meetings are, especially for scientist candidates, which will be held to raise awareness about the usage areas of artificial intelligence-based health technologies, to develop new communication and work networks by bringing together different disciplines, to create an agenda and to lay the groundwork for new studies, and we think that there is a need for many repetitive activities in this field and that these activities should be continued.

References

  • References 1. Aslan, R. Tarihten Günümüze Epidemiler, Pandemiler ve Covid-19. Ayrıntı Dergisi, 2020; 8:35-41.
  • 2. Merriam-Webster. (2020). Outbreak vs. Epidemic: Spreading Illness. https://www.merriam-webster.com/words-at-play/spanish-flu.
  • 3. Budak, F. ve Korkmaz, Ş. COVID-19 Pandemi Sürecine Yönelik Genel Bir Değerlendirme: Türkiye Örneği. Sosyal Araştırmalar ve Yönetim Dergisi 2020; 1:62-79.
  • 4. Boyd, K. M. Disease, illness, sickness, health, healing and wholeness: exploring some elusive concepts. Medical Humanities 2000; 26(1):9-17.
  • 5. Jones KE, Patel NG, Levy MA, Storeygard A, Balk D, Gittleman JL, et al. Global trends in emerging infectious diseases. Nature. 2008; 451(7181): 990–3.
  • 6. Schwetz, T.A. ve Fauci, A.S.The Extended Impact of Human Immunodeficiency Virus/AIDS Research. The Journal of Infectious Diseases 2019; 219(1): 6-9.
  • 7. Ahu Pakdemirli, Dilek Orbatu, Banu Başok, Ümit Belet, Aslı Çelebi, Bumin Nuri Dündar, Mustafa Emiroğlu, Defne Engür, Mihriban Erdoğan, Mehmet Yekta Öncel, Süleyman Sevinç, Tufan Süelözgen, Mehmet Burak Öztop. Sağlıkta Yapay Zeka: Ne Kadar İlgiliyiz? Uluslararası Sağlıkta Yapay Zeka Kongresi 16-18 Ocak 2020, İzmir Tepecik Eğitim ve Araştırma Hastanesi Dergisi. 2020; 30:(Ek 1):8-13.
  • 8. Reddy S, Fox J, Purohit MP. Artificial intelligence-enabled health care delivery. J R Soc Med. 2019; 112(1): 22-8.
  • 9. Wiens J, Shenoy ES. Machine Learning for Healthcare: On the verge of a major shift in healthcare epidemiology. Clin. Infect Dis. Off Publ. Infect Dis. Soc. Am. 2018; 66(1): 149–53.
  • 10. Defne Engür, Banu İşbilen Başok, Mehmet Yekta Öncel, Ümit Belet, Aslı Çelebi, Bumin Nuri Dündar, Mihriban Erdoğan, Dilek Orbatu, Ahu Pakdemirli, Süleyman Sevinç, Tufan Süelözgen, Mehmet Burak Öztop, Mustafa Emiroğlu. Uluslararası Sağlıkta Yapay Zeka Kongresi 2020 Kongre Raporu-Derleme. Tepecik Eğitim ve Araştırma Hastanesi Dergisi. 2020;30:(Ek 1):1-7
  • 11. Çocuk Hastalarda COVİD 19 Yönetimi 2021 ISBN:978-625-7849-14-2 Shf.47 -53.
  • 12. World Health Organization, (2019), “Ten threats to global health in 2019”, https://www.who.int/emergencies/ten-threats-to-global-health-in-2019.
  • 13. Marr, Bernard; (2016), “How Machine Learning, Big Data And AI Are Changing Healthcare Forever,Forbes,(23Eylül2016),https://www.forbes.com/sites/bernardmarr/2016/09/23/how-machine-learning-big-data-and-ai-are-changing-healthcare-forever/#5d27f5b51a1c.
  • 14. Çocuk Hastalarda COVID-19 Yönetimi 2021. ISBN:978-625-7849-14-2. Shf:239.
  • 15. Pueyo T. (2020a). Coronavirus: Learning How to Dance. Medium. (https://medium.com/@tomaspueyo/coronavirus-learning-how-to-dance-b8420170203e.
  • 16. T.C. Sağlık Bakanlığı. (2020b). COVID-19 (SARS-CoV-2 Enfeksiyonu) Rehberi. https://covid19bilgi.saglik.gov.tr/depo/rehberler/COVID-19_Rehberi.pdf.
  • 17. Wiens J, Shenoy ES. Machine Learning for Healthcare: On the verge of a major shift in healthcare epidemiology. Clin Infect Dis 2018; 66(1): 149-153.
  • 18. Koo JR, Cook AR, Park M, Sun Y, Sun H, Lim JT, et al. Interventions to mitigate early spread of SARS-CoV-2 in Singapore: a modelling study. Lancet Infect. Dis. 2020; 20(6): 678-688.
  • 19. Qin, L.; Sun, Q.; Wang, Y.; Wu, K.F.; Chen, M.; Shia, B.C.; Wu, S.Y. Prediction of Number of Cases of 2019 Novel Coronavirus (COVID-19) Using Social Media Search Index. Int. J. Environ. Res. Public Health 2020; 17: 2365.
  • 20. Deloitte, (2019), “2019 Global health care outlook Shaping the future”, https://www2.deIoitte.com/content/dam/ Deloitte/global/Documents/Life-Sciences-Health-Care/ gx-Ishc-hc-outlook-2019.
There are 20 citations in total.

Details

Primary Language English
Subjects Health Care Administration
Journal Section Research Article
Authors

M. Burak Öztop This is me 0000-0001-9783-7752

Ahu Pakdemirli 0000-0001-9224-3007

Dilek Orbatu 0000-0002-5716-2938

Ahmet Emin Erbaycu 0000-0001-6618-6774

Senem Alkan Özdemir 0000-0003-0474-7120

Banu Isbilen Basok 0000-0002-1483-997X

Semih Bitim 0000-0002-8456-9514

Onur Doğan 0000-0003-3543-4012

Deniz Türsel Eliiyi 0000-0001-7693-3980

Orhan Er 0000-0002-4732-9490

Kadir Hızıroğlu 0000-0003-4582-3732

Elif Güler Kazancı 0000-0003-0910-1142

Esra Koç 0000-0003-3620-1261

Gizem Çalıbaşı Koçal 0000-0002-3201-4752

Mehmet Yekta Öncel 0000-0003-0760-0773

Mustafa Berktaş 0000-0002-4413-0435

Publication Date September 29, 2022
Submission Date August 19, 2021
Published in Issue Year 2022 Volume: 6 Issue: 3

Cite

APA Öztop, M. B., Pakdemirli, A., Orbatu, D., Erbaycu, A. E., et al. (2022). The COVID-19 Pandemic and Artificial Intelligence (AI) Applications in Health: How Much Are We Interested in?. Journal of Basic and Clinical Health Sciences, 6(3), 913-920. https://doi.org/10.30621/jbachs.984596
AMA Öztop MB, Pakdemirli A, Orbatu D, Erbaycu AE, Alkan Özdemir S, Basok BI, Bitim S, Doğan O, Türsel Eliiyi D, Er O, Hızıroğlu K, Kazancı EG, Koç E, Çalıbaşı Koçal G, Öncel MY, Berktaş M. The COVID-19 Pandemic and Artificial Intelligence (AI) Applications in Health: How Much Are We Interested in?. JBACHS. September 2022;6(3):913-920. doi:10.30621/jbachs.984596
Chicago Öztop, M. Burak, Ahu Pakdemirli, Dilek Orbatu, Ahmet Emin Erbaycu, Senem Alkan Özdemir, Banu Isbilen Basok, Semih Bitim, Onur Doğan, Deniz Türsel Eliiyi, Orhan Er, Kadir Hızıroğlu, Elif Güler Kazancı, Esra Koç, Gizem Çalıbaşı Koçal, Mehmet Yekta Öncel, and Mustafa Berktaş. “The COVID-19 Pandemic and Artificial Intelligence (AI) Applications in Health: How Much Are We Interested In?”. Journal of Basic and Clinical Health Sciences 6, no. 3 (September 2022): 913-20. https://doi.org/10.30621/jbachs.984596.
EndNote Öztop MB, Pakdemirli A, Orbatu D, Erbaycu AE, Alkan Özdemir S, Basok BI, Bitim S, Doğan O, Türsel Eliiyi D, Er O, Hızıroğlu K, Kazancı EG, Koç E, Çalıbaşı Koçal G, Öncel MY, Berktaş M (September 1, 2022) The COVID-19 Pandemic and Artificial Intelligence (AI) Applications in Health: How Much Are We Interested in?. Journal of Basic and Clinical Health Sciences 6 3 913–920.
IEEE M. B. Öztop, “The COVID-19 Pandemic and Artificial Intelligence (AI) Applications in Health: How Much Are We Interested in?”, JBACHS, vol. 6, no. 3, pp. 913–920, 2022, doi: 10.30621/jbachs.984596.
ISNAD Öztop, M. Burak et al. “The COVID-19 Pandemic and Artificial Intelligence (AI) Applications in Health: How Much Are We Interested In?”. Journal of Basic and Clinical Health Sciences 6/3 (September 2022), 913-920. https://doi.org/10.30621/jbachs.984596.
JAMA Öztop MB, Pakdemirli A, Orbatu D, Erbaycu AE, Alkan Özdemir S, Basok BI, Bitim S, Doğan O, Türsel Eliiyi D, Er O, Hızıroğlu K, Kazancı EG, Koç E, Çalıbaşı Koçal G, Öncel MY, Berktaş M. The COVID-19 Pandemic and Artificial Intelligence (AI) Applications in Health: How Much Are We Interested in?. JBACHS. 2022;6:913–920.
MLA Öztop, M. Burak et al. “The COVID-19 Pandemic and Artificial Intelligence (AI) Applications in Health: How Much Are We Interested In?”. Journal of Basic and Clinical Health Sciences, vol. 6, no. 3, 2022, pp. 913-20, doi:10.30621/jbachs.984596.
Vancouver Öztop MB, Pakdemirli A, Orbatu D, Erbaycu AE, Alkan Özdemir S, Basok BI, Bitim S, Doğan O, Türsel Eliiyi D, Er O, Hızıroğlu K, Kazancı EG, Koç E, Çalıbaşı Koçal G, Öncel MY, Berktaş M. The COVID-19 Pandemic and Artificial Intelligence (AI) Applications in Health: How Much Are We Interested in?. JBACHS. 2022;6(3):913-20.