Background Recent studies demonstrate the potential of Artificial Intelligence to support
diagnosis, mortality assessment, and clinical decisions in low-and-middle-income countries …

Despite the widespread deployment of AI applications in high-income countries, their
utilization in the healthcare systems of economically disadvantaged countries is still nascent …

Background Artificial intelligence (AI) is a broad outlet of computer science aimed at
constructing machines capable of simulating and performing tasks usually done by human …

Background: Artificial intelligence (AI), which combines computer science with extensive
datasets, seeks to mimic human-like intelligence. Subsets of AI are being applied in almost …

In low-and middle-income countries (LMICs), AI has been promoted as a potential means of
strengthening healthcare systems by a growing number of publications. We aimed to …

Millions of people's health is at risk because of several factors and multiple overlapping
crises, all of which hit the vulnerable the most. These challenges are dynamic and evolve in …

Aim Technology including artificial intelligence (AI) may play a key role to strengthen primary
health care services in resource‐poor settings. This systematic review aims to explore the …

This study investigates the transformative impact of AI-driven machine learning solutions on
sustainable healthcare development. Harnessing the capabilities of artificial intelligence (AI) …

The growing accessibility of large health datasets and AI's ability to analyze them offers
significant potential to transform public health and epidemiology. AI-driven interventions in …

Abstract Background Artificial Intelligence (AI) platforms, increasingly deployed in public
health, utilize robust data systems as a critical component for health emergency …