COVID-19 and artificial intelligence: Experts and dermatologists perspective

Area of Science:

• Medical Informatics
• Computational Biology

Background:

• Artificial intelligence (AI) is increasingly vital for future healthcare solutions.
• Machine learning and artificial neural networks are key AI subsets enabling human-like computational thinking.

Purpose of the Study:

• To review and discuss the role and perspectives of AI in the context of Coronavirus disease (COVID-19).

Main Methods:

• A literature search was conducted using Google Scholar and PubMed for articles on COVID-19 and AI.
• Evidence was analyzed to discuss the utility of AI in managing the COVID-19 pandemic.

Main Results:

• AI is instrumental in predicting disease onset, issuing alerts, monitoring spread, and supporting therapies for COVID-19.
• AI contributes to virtual protein structure modeling, education, and social control during the pandemic.
• Telemedicine has emerged as a critical tool for healthcare consultations during the crisis.

Conclusions:

• The full potential of AI in healthcare, especially during pandemics, remains largely untapped.
• Further advancements require expert data collection, rigorous analysis, and strategic implementation.