Artificial Intelligence and technology in COVID Era: A narrative review

Area of Science:

• Medical Informatics
• Artificial Intelligence in Medicine
• Digital Health

Background:

• The COVID-19 pandemic accelerated the exploration of artificial intelligence (AI) in healthcare.
• AI offers benefits in data analysis, medical imaging, and patient management.

Purpose of the Study:

• To review the application of AI in the medical field during the COVID-19 pandemic.
• To highlight AI's role in respiratory care and patient monitoring.

Main Methods:

• A narrative review of articles from MEDLINE/PubMed, Google Scholar, and NIC e-gov mobile apps.
• Search terms included "Artificial intelligence," "COVID-19," and "respiratory care unit" (2019-2020).

Main Results:

• AI demonstrates high accuracy (95%) in detecting COVID-19 specific chest findings.
• AI-powered robots assist in patient assessment and drug delivery, reducing infection spread.
• AI models automatically detect patients in respiratory distress using various detection methods.

Conclusions:

• AI is crucial for digital health tools and patient engagement.
• AI and machine learning are permanently integrated into medical training, teaching, patient care, and research.