Artificial intelligence for COVID-19: battling the pandemic with computational intelligence

Area of Science:

• * Public Health and Epidemiology
• * Genomic Medicine
• * Clinical Care and Patient Management

Background:

• * The COVID-19 pandemic caused millions of deaths and overwhelmed healthcare systems globally.
• * COVID-19 exhibits high transmissibility, diverse clinical features, and severe patient outcomes.
• * Artificial intelligence (AI) has emerged as a valuable tool in healthcare for diagnosis and treatment.

Purpose of the Study:

• * To review and summarize existing studies on AI applications in combating COVID-19.
• * To categorize AI efforts into key research areas.
• * To discuss future directions and challenges in AI for pandemic response.

Main Methods:

• * Systematic review of studies applying AI techniques to COVID-19.
• * Categorization of AI applications into epidemiology, therapeutics, clinical research, and social/behavioral studies.
• * Analysis of AI's role in understanding and managing the pandemic.

Main Results:

• * AI has been applied across various domains including epidemiology, drug discovery, and patient management.
• * AI aids in disease surveillance, diagnosis, treatment development, and understanding disease dynamics.
• * AI techniques have shown promise in addressing the complexities of COVID-19.

Conclusions:

• * AI is a critical tool for understanding and managing the COVID-19 pandemic.
• * Further research into AI applications can enhance pandemic preparedness and response.
• * Identifying challenges and future directions is crucial for post-pandemic preparedness.