ARTIFICIAL INTELLIGENCE APPLICATIONS IN NURSING

Abstract

The nursing profession is complex and flexible, able to adjust to the unique needs of each patient. These days, artificial intelligence (AI) is integrating with this flexible architecture to bring a range of new technologies that have the potential to significantly improve operational workflows and patient care. This paper explores the new role artificial intelligence (AI) is playing in nursing, with a particular emphasis on how it is being incorporated into traditional clinical tasks including patient support, diagnosis, and treatment administration. It looks at how AI might affect various fields and provides supporting information about its real-world uses. This study offers a critical overview of artificial intelligence's potential impact on nursing in the future, giving administrators, physicians, and the general public information on how this rapidly developing technology is expected to develop. Artificial intelligence is the computerized performance of tasks that conventionally need human intelligence. Artificial Intelligence is already in use in many areas of our daily lives, including the home, job, and educational system. There are two types of AI: strong and weak. While the weak AI argument advocates for the replication of human cognition by machines, the strong AI proposal contends that it is possible for machines to express intelligence. Nowadays, the latter, 'weak' version of AI predominates in the field. Many people use artificial intelligence (AI)-powered devices in their homes, frequently without realizing it. Voice recognition is used by technologies such as MacSIRI and Windows Cortana for routine tasks like text messaging, online navigation, and reminder setting. But as technology developed, it was used more and more in medicine to do increasingly complex tasks. Watson from IBM is a prime example. Watson uses machine learning and natural language processing to glean insights from enormous unstructured data volumes. As a result, Watson has the capacity to analyze and interpret vast amounts of medical material, which could help with forecasting and provide direction in complex decision-making situations. Its application extends to health sciences education as well as a number of healthcare sectors. Watson is a significant tool for nurses because of its ability to facilitate complex clinical decision-making.