Abstract

The recent world economic challenging status and widened poor-rich gap have established additional risk for the global population, particularly in low-middle income countries. Artificial intelligence’s potential has created an opportunity for the global population health. AI has benefited from the global digital theme that has been central in most of the societies around the world. With growing expectations and acceptance of digital life around the globe, AI is becoming an appealing option/choice within the health sector. AI is increasingly being used in the healthcare sector to improve various aspects of healthcare such as diagnosis, treatment planning, drug discovery, and medical image analysis. The globalhealthcare sector has been plagued by the chronic and persistent problem of insufficient resources and is under pressure to meet the ever-increasing demand for a diverse range of services. AI is now an additional capacity for a wide range
of issues from clinical diagnostic decision-making, conducting medical interven�tion (e.g., robotic surgery), follow-up clinical surveillances, patients enabled self�assessment and basic ill-health management to the community level and public health AI has facilitated strategic planning, decision-making, and service deliv�ery. AI significantly improves outbreak prediction, prevention, and management with a huge impact on population health gain.