Exploring the Impact of Artificial Intelligence on Healthcare Delivery: Applications, Challenges, and Ethical Implications in Resource-Limited Settings

Abstract

Artificial Intelligence (AI) has the potential to revolutionize healthcare delivery, particularly in resource-limited settings where there is often a shortage of healthcare professionals, diagnostic tools, and infrastructure. This systematic review explores the applications, challenges, and ethical implications of AI in healthcare in low-resource environments. The review highlights several promising AI applications, including disease diagnosis, telemedicine, patient monitoring, and decision support systems, which can help bridge gaps in healthcare access. However, challenges such as inadequate infrastructure, lack of trained personnel, high costs, and data privacy concerns hinder the widespread adoption of AI in these settings. Ethical issues, including algorithmic bias, transparency in decision-making, and the protection of patient data, also need to be addressed. This review concludes by recommending strategies for overcoming these barriers, such as improving infrastructure, enhancing training, and ensuring ethical AI implementation, to realize the full potential of AI in healthcare delivery in resource-limited settings.