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Artificial Intelligence in Health AI in the battle against COVID-19

to combat infectious diseases. However, realizing this Ethics approval and consent to participate
potential will require thoughtful policy recommendations
that promote innovation while addressing ethical, legal, Not applicable.
and social implications. Consent for publication
12. Conclusion Not applicable.

The COVID-19 pandemic has served as a catalyst for Availability of data
unprecedented global change, particularly in the realms of
healthcare and technology. AI has emerged as a critical tool Not applicable.
in combating the pandemic, offering solutions for detection,
diagnosis, treatment, and management of the disease. In References
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Funding
doi: 10.1136/bmjgh-2021-004882
This research was funded by Research on Quality Assurance
and Evaluation of Higher Education in Jiangsu Province 6. Vaishya R, Javaid M, Khan IH, Haleem A. Artificial
intelligence (AI) applications for COVID-19 pandemic.
under Grant No. 2023JSETKT032. Diabetes Metab Syndr Clin Res Rev. 2020;14:337-339.
Conflict of interest doi: 10.1016/j.dsx.2020.04.012

The authors declare they have no competing interests. 7. Darapaneni N, Sreevanth AT, Paduri AR, et al. Explainable
Diagnosis, Lesion Segmentation and Quantification of
Author contributions COVID-19 Infection from CT Images using Convolutional
Neural Networks. In: 2022 IEEE 13 Annual Information
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Conceptualization: Emma Yann Zhang, Adrian David Technology, Electronics and Mobile Communication
Cheok Conference (IEMCON). IEEE; 2022. p. 171-178.
Formal analysis: Emma Yann Zhang, Adrian David Cheok doi: 10.1109/IEMCON53756.2022.9623045
Investigation: Emma Yann Zhang, Adrian David Cheok
Methodology: Emma Yann Zhang, Adrian David Cheok 8. Huang S, Yang J, Fong S, Zhao Q. Artificial intelligence in
Writing – original draft: Emma Yann Zhang, Adrian David the diagnosis of COVID-19: Challenges and perspectives.
Cheok Int J Biol Sci. 2021;17:1581.
Writing – review & editing: All authors doi: 10.7150/ijbs.58855

Volume 1 Issue 2 (2024) 10 doi: 10.36922/aih.2401