The increasing expense of healthcare creates substantial difficulties for individuals, especially those from disadvantaged economic backgrounds who frequently encounter obstacles in obtaining prompt and adequate medical treatment. This study investigates how artificial intelligence could revolutionize healthcare by reducing these disparities and controlling costs. AI-powered medical services—such as remote consultations, diagnostic aids, and customized health advice—possess the ability to make healthcare information more widely accessible and improve early detection of preventable diseases. These technologies offer scalable, cost-effective solutions to bridge gaps in healthcare delivery, especially in underserved communities. However, the paper also examines the potential downsides of AI health systems, such as privacy concerns, biases in AI algorithms, and the risk of over-reliance on automated systems at the expense of human oversight. Despite these challenges, we argue that the integration of AI into healthcare is not only inevitable, but essential for the future of global health. Rather than dismissing these innovations, efforts should focus on developing ethical frameworks, robust governance, and equitable distribution mechanisms to maximize their benefits.
Toosi et al. (Wed,) studied this question.
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