Artificial Intelligence (AI) has rapidly transformed the landscape of modern medicine, moving from theoretical frameworks to practical clinical applications. AI encompasses a range of computational technologies, including machine learning, deep learning, natural language processing, and computer vision, all of which aim to replicate aspects of human intelligence. These systems can analyze vast amounts of data, identify patterns, predict outcomes, and, in some cases, make autonomous decisions. In healthcare, AI has demonstrated remarkable potential in diagnostics, treatment planning, personalized medicine, and patient monitoring. For instance, deep learning algorithms have been shown to detect diabetic retinopathy, classify skin lesions, and predict cardiovascular risks with accuracy comparable to or exceeding human clinicians.