Artificial Intelligence in Health Care: A Human Centered Revolution

Abstract

Artificial Intelligence (AI) is rapidly transforming the landscape of health care by enhancing diagnostic accuracy, personalizing treatments, accelerating drug discovery, and improving administrative efficiency. This article explores the evolution of health care from its empirical origins to the current Al-driven revolution, emphasizing how Al technologies such as machine learning, natural language processing, and robotics are augmenting human capabilities across the medical field. Applications in medical imaging, predictive analytics, telemedicine, and robotic surgery demonstrate Al's potential to increase accessibility, reduce costs, and improve patient outcomes. However, the integration of Al into health care also raises ethical concerns, including data privacy, algorithmic bias, accountability, and job displacement. The authors advocate for a balanced, human-centred approach to AI, where technology empowers health care professionals rather than replaces them. The article concludes that the future of medicine lies in collaborative human-Al partnerships, aiming to deliver faster, smarter, and more equitable health care for all.