The integration of Artificial Intelligence (AI) into healthcare has led in an era of remarkable innovation and transformation, fundamentally altering how medical practice and patient care are approached. This paper offers a thorough exploration of the diverse ways in which AI is impacting various areas within healthcare. It highlights significant achievements and advancements, while also addressing the challenges and future prospects in this field. Moreover, it emphasizes the vital role AI plays in tackling pressing issues within healthcare, including enhancement of individual’s outcomes and clinical decision-making, and the optimization of healthcare delivery. AI is already changing how we interpret medical images by utilizing advanced DL(deep learning) algorithms. These tools support radiologists in making more precise diagnoses. This paper explores the significant changes AI brings to medical imaging, including realworld examples of AI-driven systems that boost diagnostic accuracy, shorten interpretation times, and enhance patient outcomes. This study examines the important role artificial intelligence (AI) plays in managing personalized medicine and predictive analytics, emphasizing how ML(machine learning) algorithms evaluate massive datasets for predicting illness risk, customize treatment regimens, and streamline clinical procedures which explains how AI has the potential to revolutionise the healthcare delivery by facilitating precision medicine techniques, individualized treatments, and proactive interventions