Assessing Africa's position in the development of AI-enabled ECG devices

Area of Science:

• Biomedical Engineering
• Artificial Intelligence in Healthcare
• Cardiology

Background:

• The integration of Artificial Intelligence (AI) into electrocardiographic (ECG) devices is a critical research area, accelerated by the COVID-19 pandemic.
• AI-powered ECG technologies are vital for improving cardiac diagnosis and patient monitoring.

Purpose of the Study:

• To assess current trends, key contributors, and collaborative networks in AI-enhanced ECG device research.
• To identify research gaps and geographical disparities in the field.

Main Methods:

• Bibliometric analysis using Biblioshiny (Bibliometrix) on Scopus database data.
• Network visualization and mapping using VOSViewer to analyze relationships and developments.

Main Results:

• A significant increase in publications on AI-enhanced ECG devices, with a notable surge during the COVID-19 pandemic.
• A significant disparity in geographical research contributions, with under-representation from African researchers.
• Identified infrastructural and financial constraints, and limited collaborative networks as reasons for the research gap in Africa.

Conclusions:

• The rapid growth of AI in ECG devices necessitates more inclusive global research practices.
• There is a critical need to promote contributions from under-represented regions, particularly Africa, for diverse perspectives.
• Enhanced support for African researchers is crucial to bridge the research gap and promote global health equity.