Designing Futuristic Telemedicine Using Artificial Intelligence and Robotics in the COVID-19 Era

Area of Science:

• Health Informatics
• Medical Technology
• Public Health

Background:

• Telemedicine adoption faces geographical and specialty-specific implementation gaps.
• Technological innovations like AI and robotics offer potential for healthcare system resilience.
• The COVID-19 pandemic highlighted the need for robust telemedicine infrastructure.

Purpose of the Study:

• To explore AI and robotics applications in telemedicine during the COVID-19 pandemic.
• To propose an AI-assisted telemedicine framework for rapid deployment and improved healthcare access.
• To enhance future pandemic response capabilities through advanced telemedicine.

Main Methods:

• Review of current AI and robotics-assisted telemedicine applications during COVID-19.
• Development of a conceptual AI-assisted telemedicine framework.
• Analysis of potential impacts on healthcare access and cost-effectiveness.

Main Results:

• Identified various AI and robotics applications in telemedicine during the pandemic.
• Proposed a novel AI-assisted telemedicine framework.
• Highlighted the potential for accelerated telemedicine deployment and improved healthcare access.

Conclusions:

• AI-assisted telemedicine frameworks are crucial for resilient health systems.
• These frameworks can improve healthcare access and cost-effectiveness, especially during pandemics.
• Future health systems can leverage AI and robotics for enhanced pandemic preparedness.