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The role of artificial intelligence in managing COVID-19 and long COVID: a narrative review
Bikash Kanti Sarkar1, Ambuj Kumar1
1Department of Computer Science and Engineering, Birla Institute of Technology, Ranchi, India.
Insights
Long COVID (LC) significantly impacts multiple organ systems, affecting survivors' quality of life. Artificial intelligence (AI) shows potential in managing these long COVID effects, despite ethical considerations.
Area of Science:
- Medical Research
- Health Informatics
- Artificial Intelligence in Medicine
Background:
- The COVID-19 pandemic caused widespread health issues, including persistent symptoms in survivors known as long COVID (LC).
- LC leads to long-term damage across multiple organ systems, significantly reducing survivors' quality of life.
- There is a growing need to understand LC's multifaceted impacts and explore innovative solutions.
Purpose of the Study:
- To increase awareness of organ system damage caused by long COVID.
- To highlight the potential of artificial intelligence (AI) in addressing long COVID challenges.
- To discuss ethical and practical concerns associated with AI implementation in healthcare.
Main Methods:
- A narrative review of 69 relevant studies identified through comprehensive database searches (Embase, PubMed, Web of Science, Scopus).
- Expert review of selected literature by at least two health science specialists.
- Analysis of organ system impacts and AI's role based on authors' insights.
Main Results:
- Long COVID results in lasting damage to various human organ systems.
- Artificial intelligence presents significant potential for improving long COVID care and management.
- Ethical issues like data privacy and algorithmic bias are critical considerations for AI in LC.
Conclusions:
- Long COVID poses a significant, persistent threat to organ health and quality of life.
- AI offers promising avenues for mitigating the adverse effects of long COVID.
- Careful consideration of ethical implications is essential for the responsible deployment of AI in long COVID care.
Abstract:
The coronavirus disease 2019 (COVID-19) pandemic had an unprecedented global impact, resulting in both positive and negative consequences. The virus not only affected millions of lives worldwide but also caused long-term harm to multiple organ systems in many survivors, thereby substantially impairing quality of life. This persistent condition is now referred to as long COVID (LC). The aim of this study is to raise awareness of LC-related organ system impacts and to highlight the key role of artificial intelligence (AI) in mitigating these effects. The present research conducts a narrative review focusing on LC-related impacts. In this context, unstructured searches were conducted to identify a total of 69 relevant studies indexed in Embase, PubMed, Web of Science, or Scopus, each of which was reviewed by at least 2 experts with sufficient domain knowledge in health sciences. Based on the authors' perspectives and insights, the review narratively examines damage to human organ systems attributable to LC and explores the role of AI in addressing LC-related challenges. Significant ethical, practical, and societal concerns arising from the extensive use of AI, particularly major issues such as data privacy and algorithmic bias, are also discussed. LC has caused lasting impacts on human organ systems, while AI is offering substantial potential for LC-related care.
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