Abstract
Artificial Intelligence (AI) has emerged as a transformative force in the medical sciences, revolutionizing various facets of healthcare. Its applications span patient diagnosis, drug discovery, doctor-patient communication enhancement, prescription management, and remote patient care. In recent times, modern AI algorithms have showcased accuracies on par with human expertise, often surpassing human efficiency in specific medical tasks. This research critically examines the impact of AI on the medical field, navigating between the speculative projections and real-world applications. It aims to explore the evolving role of AI in medicine, prompting discussions regarding the potential integration of machine learning in medical fields.
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