Published Paper Details:

Artificial Intelligence (AI) has revolutionized the healthcare industry by enhancing disease detection, drug discovery, surgical precision, and predictive analytics. Integrating Artificial Intelligence (AI) with cutting-edge technologies such as quantum computing and nanotechnology has further improved medical treatments. Artificial Intelligence (AI) -based systems provide clinicians with decision-support tools, reducing diagnostic errors and optimizing treatment plans. Furthermore, Artificial Intelligence (AI) driven predictive models facilitate early disease prevention strategies. While addressing ethical and regulatory considerations, this study addresses the applications of Artificial Intelligence (AI) in medical diagnostics, medication development, surgery, and future forecasts. One of the most important technologies in modern human life is Artificial Intelligence (AI). The use of artificial intelligence (AI) is rapidly spreading across several sectors, ranging from general-purpose ones like perception and learning to more specialized ones such as diagnosing illnesses, digital assistants, search engines, proving mathematical theorems, social media, text editing, and autocorrect. Philosophy, mathematics, economics, psychology, computer engineering, cybernetics, linguistics, and sociology are some of the important fields that have contributed to the development of artificial intelligence (AI). Artificial Intelligence (AI) has transformed the landscape of medical science by enabling faster diagnoses, personalized treatments, and efficient healthcare management. This paper explores recent advancements in Artificial Intelligence (AI) -driven medical treatments, highlighting disease detection, drug discovery, robotic surgeries, and predictive analytics breakthroughs. Furthermore, the study investigates the future trajectory of Artificial Intelligence (AI) in medicine, emphasizing the potential of deep learning, quantum computing, and nanotechnology in revolutionizing patient care. The paper concludes with ethical considerations and challenges related to Artificial Intelligence (AI) implementation in healthcare.