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Description
AI-powered applications have developed and adjusted to alter the healthcare sector by lowering costs, enhancing patient outcomes, and raising overall productivity. Artificial intelligence is revolutionizing-and strengthening-modern healthcare through technologies that can predict, grasp, learn, and act, whether it's employed to identify new relationships between genetic codes or to control surgery-assisting robots. It can detect minor patterns that humans would completely overlook. This research study explores and discusses the various modern applications of AI in the health sector. Particularly, the study focuses on five of the most emerging areas of AI-powered healthcare: AI-led medical image analysis for brain tumor diseases, image analysis of lung cancer, image analysis of heart diseases, analysis of health parameters for predicting diabetes, and image analysis for breast cancer detection, which helps in clinical trials and patient care. Artificial intelligence (AI) can also help to eliminate time-consuming data monitoring methods. The findings also indicate that AI-assisted clinical trials are capable of handling massive volumes of data and producing highly accurate results. Dr. Venkat P. Patil has a B.E. (ECE), M. Tech (Electronics Design and Technology), MBA, and Ph.D. (ECE) and postdoctoral in the field of AI. He has 35 years of teaching experience in engineering colleges under Mumbai University. Dr. Pravin Kshirsagar has a Ph.D. and postdoc in AI, and Dr. Shrikant Sonekar has a Ph.D. in computer engineering.
