This academic review examines the transformative role of artificial intelligence within modern healthcare, highlighting its capacity to improve diagnostic accuracy, drug discovery, and surgical precision. The text details how technologies such as machine learning and deep learning process complex data to facilitate personalised treatment plans and predictive analytics. It also addresses significant implementation challenges, including data privacy, algorithmic bias, and the necessity for robust ethical frameworks. Furthermore, the authors emphasise AI’s potential to reduce global health disparities by providing scalable, cost-effective solutions for underserved and remote regions. Ultimately, the source advocates for a collaborative approach where AI serves as a sustainable tool to complement human clinical expertise.