Abstract
Abstract: The healthcare sector is being rapidly transformed by artificial intelligence (AI), which has the potential to enhance care quality, lower costs, and improve patient outcomes. This study examines the newest developments in artificial intelligence (AI) in the fields of robotics, computer vision, and natural language processing. It also looks at the potential and problems brought on by these new technologies, as well as how they affect patient participation, research, and healthcare delivery. A significant benefit that aids in the development of many AI applications is the availability of a huge volume of data supported by limitless cloud storage. The learning algorithms are improved through training with this data. New knowledge in diagnosis and therapy is made possible by the algorithms' interactions with the training data. Hence, it enhances the outcomes for patients. A case study on Predictive Analytics for Early Detection of Sepsis was discussed and a suitable architecture is proposed.
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