Mini Review Open Access

Artificial Intelligence in Healthcare: Transforming Clinical Practice, Challenges, and Future Perspectives

Abstract

Artificial intelligence (AI) is rapidly reshaping the healthcare landscape by enabling data-driven decision-making, improving diagnostic accuracy, and enhancing patient care. From machine learning algorithms in medical imaging to predictive analytics in population health, AI technologies are being integrated across diverse clinical settings. This perspective article explores the transformative potential of AI in healthcare, highlighting its applications in diagnosis, treatment, drug discovery, and healthcare management. It also examines critical challenges, including ethical concerns, data privacy, algorithmic bias, and regulatory complexities. Furthermore, the article discusses the evolving role of healthcare professionals in an AI-driven environment and emphasizes the need for responsible implementation. By balancing innovation with ethical considerations, AI has the potential to significantly improve healthcare delivery and outcomes globally.

Amina Hassan

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