Artificial Intelligence in Healthcare: Innovations, Risks, and Ethical Dilemmas

Abstract

The integration of Artificial Intelligence (AI) in healthcare has revolutionized the industry, offering a range of innovations from diagnostics to patient care and management. While AI promises efficiency, accuracy, and better outcomes, its implementation also presents challenges such as data security, algorithmic bias, and ethical concerns surrounding privacy and decision-making autonomy. This paper explores the advancements in AI within healthcare, the inherent risks it poses, and the ethical dilemmas it presents. We focus on the potential of AI to improve diagnostic processes, enhance personalized medicine, and streamline administrative tasks, while simultaneously addressing concerns such as the reliability of AI-driven decisions and the consequences of replacing human judgment. We also discuss regulatory frameworks, the need for transparency, and the long-term implications of relying on AI in a field that deals directly with human lives.