Ethical Integration of Artificial Intelligence in Healthcare: Narrative Review of Global Challenges and Strategic Solutions

Abstract

Artificial intelligence (AI) is revolutionizing healthcare, offering innovative solutions to enhance diagnostic accuracy, treatment efficacy, and accessibility. However, integrating AI into clinical practice raises significant ethical implications, necessitating clear guidelines and frameworks. This paper provides a comprehensive review of the ethical landscape surrounding AI deployment in healthcare across various countries and regions. It explores AI's transformative potential while underscoring the need to prioritize patient safety, transparency, accountability, data privacy, fairness, and human oversight. The paper analyzes existing guidelines from the European Union, the United States, India, Australia, and Africa, identifying common ethical principles and considerations. It discusses challenges and proposes suggestions for addressing issues such as data quality and bias, transparency, privacy and security, accessibility and equity, and robust legal and regulatory frameworks. By fostering a comprehensive understanding of the ethical implications and guidelines surrounding AI in healthcare, this paper aims to contribute to the responsible development and equitable deployment of these transformative technologies.

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