Applying artificial intelligence to cardiac MRI to diagnose congenital heart disease in low-resource settings such as Sub-Saharan Africa

Congenital heart disease (CHD) represents a significant burden in Sub-Saharan Africa (SSA), where limited healthcare infrastructure, inadequate diagnostic facilities, and financial constraints contribute to delayed diagnosis and suboptimal care.

Artificial intelligence (AI) has the potential to revolutionize the role of MRI in CHD diagnosis by reducing scan times, automating image processing, and improving diagnostic accuracy. Strategic interventions such as adopting low-field MRI technologies, enhancing public-private partnerships, and establishing dedicated cardiac imaging units at tertiary centers could significantly expand CMR access and improve diagnosis of CHD in Sub-Saharan Africa.