Harnessing Artificial Intelligence for COVID-19 Diagnostics and Treatment: Innovations and Implications

Authors

  • Dedeepya Sai Gondi CTO/Director, Artificial Intelligence and Machine Learning Company, USA
  • Veera Venkata Raghunath Indugu Engineer 1, Data Science and Cloud Technologies Company, USA
  • Vamsi Krishna Reddy Bandaru Data Science Advisor, Artificial Intelligence and Machine Learning Company, USA
  • Kushwanth Gondi Software Developer, Computer Science and Technology Company, USA,
  • Jubin Thomas Independent Researcher, USA

Abstract

The COVID-19 pandemic has catalyzed the integration of artificial intelligence (AI) into healthcare, particularly in diagnostics and treatment. This paper explores how AI technologies, such as machine learning and neural networks, are being employed to detect COVID-19 through imaging, predict patient outcomes, and develop treatment protocols. By examining current AI applications, case studies, and clinical trials, we highlight the potential and limitations of AI in managing the pandemic and discuss future directions for AI-driven healthcare innovation.

Downloads

Published

2020-06-18

How to Cite

Gondi, D. S., Indugu, V. V. R., Bandaru, V. K. R., Gondi, K., & Thomas, J. (2020). Harnessing Artificial Intelligence for COVID-19 Diagnostics and Treatment: Innovations and Implications. MZ Computing Journal, 1(1). Retrieved from http://mzresearch.com/index.php/MZCJ/article/view/396

Issue

Vol. 1 No. 1 (2020): Jan – Jun 2020

Section

Articles

License

Copyright (c) 2020 MZ Computing Journal

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Most read articles by the same author(s)