Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic

Area of Science:

• Medical Informatics
• Artificial Intelligence in Healthcare
• Digital Health Interventions

Background:

• Technological advancements have consistently addressed global healthcare challenges.
• The COVID-19 pandemic accelerated the adoption of digital interventions for public health.
• Artificial Intelligence (AI) emerged as a critical tool in managing the pandemic.

Purpose of the Study:

• To explore trends in healthcare technologies and AI during the COVID-19 crisis.
• To define the role of AI in mitigating COVID-19.
• To assess AI's efficacy in medical imaging and identify its advantages, drawbacks, and challenges.

Main Methods:

• Systematic review approach.
• Utilized a detailed research protocol.
• Followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

Main Results:

• Digital technologies, including robotics and IoT, facilitated coordinated COVID-19 responses.
• AI, particularly machine learning, enabled autonomous pandemic management.
• AI-powered medical imaging, like computed tomography, improved diagnostic accuracy (98% sensitivity).

Conclusions:

• Digital interventions and AI significantly enhanced COVID-19 response strategies.
• AI magnified the role of medical imaging in diagnostics during the pandemic.
• Technology offers innovative solutions for global health concerns, promoting contactless care.