Artificial Intelligence in Healthcare: Transforming Patient Care and Medical Decision-Making

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in modern healthcare by improving diagnostic accuracy, treatment planning, and patient management. This paper reviews recent developments in AI-driven healthcare technologies, including machine learning, predictive analytics, robotic surgery, and clinical decision-support systems. The study explores the benefits of AI in enhancing efficiency, reducing medical errors, and supporting personalized medicine. It also discusses ethical concerns related to patient privacy, algorithmic bias, data security, and regulatory compliance. Findings suggest that AI can significantly improve healthcare quality when integrated responsibly with human expertise. The paper recommends stronger governance frameworks, interdisciplinary collaboration, and continuous professional training to maximize AI's potential while addressing ethical and legal challenge